Учебник. — М.: ЛКИ, 2010. — 600 с. — ISBN 978- 5-382-01013-7. Настоящая книга представляет собой своеобразный расширенный учебник по математической статистике. Данный учебник не ограничен рамками учебного стандарта или вузовской программы — он предназначен всем, кто интересуется математикой вообще и, в частности, хочет узнать, что такое современная математическая статистика,...
W. W. Norton & Company, 2013. — 392 p. Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called sexy. From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that...
М.: Мир, 1975. — 648 с. Книга выдающегося шведского математика Г. Крамера - классическое руководство по этой дисциплине. Впервые на русском языке она была издана в 1948 г. и сыграла большую роль в развитии теоретических работ по математической статистике, а также в повышении уровня прикладных работ. Собственно математической статистике посвящена третья (последняя) часть книги, а...
Пер. с англ. Е.Г. Коваленко. — Под ред. Н.П. Бусленко. — М.: Мир, 1972. — 382 с. В книге освещены основные проблемы современной теории инженерного эксперимента: организация испытаний и анализ влияния случайных факторов на ошибки отдельных измерений или результата эксперимента в целом, вопросы проектирования измерительных систем и планирования эксперимента, методы обработки...
Уч. пособ. Новосиб: НГАСУ, 2006, - 154 с. Решение типовых примеров в табл. процессоре MS Excel. Наиболее важн. разделы матем. статистики: точечное и интервальное оценивание параметров распределений, проверку различных статистических гипотез. Приведено большое кол-во примеров, которые позволяют лучше понять и усвоить не только общетеор. положения, но и возможные области...
М.: Наука. Главная редакция физико-математическом литературы, 1983. —416 с. Книга представляет собой сборник статистических таблиц с подробными пояснениями и примерами, которые выходят за рамки простого описания и представляют самостоятельный интерес как справочный материал. В отличие от других книг аналогичного содержания, здесь функции табулированы по всей естественной...
Учебное пособие для студентов вузов. — М.: Академия, 2006. — 368 с. — (Прикладная математика и информатика). В учебном пособии представлены как классические результаты, так и последние теоретические и методические разработки численного статистического моделирования, рассмотрены методы моделирования случайных величин и процессов, численного интегрирования и решения интегральных...
Wackerly D., Mendenhall W., Scheaffer R.L. Mathematical Statistics with Applications Duxbury Press – 2007, 938 pages, 7th edition. ISBN: 0495110817, 9780495110811. In their bestselling Mathematical Statistics with Applications, premiere authors Dennis Wackerly, William Mendenhall, and Richard L. Scheaffer present a solid foundation in statistical theory while conveying the...
Перевод с немецкого. — М.: Изд-во Иностранной литературы, 1960. — 436 с.
Эта книга знакомит читателя с основами математической статистики. Ее автору, известному ученому ван дер Вардену, удалось, не поступаясь математической строгостью, построить свое изложение таким образом, что для чтения книги не требуется знакомства ни с какими специальными разделами математики....
2-е изд., перераб. и доп. — М.: Наука, 1971. — 576 с.: ил. — (Физико-математическая библиотека инженера). OCR. В книге излагаются основные методы математической статистики с приложениями к конкретным примерам. В конце книги приложен набор таблиц, необходимых при статистических расчетах. В настоящее издание внесен ряд дополнений: дано изложение основных теорем статистического...
М.: Наука, Физматлит, 1973. — 899 с. Книга представляет собой второй том трехтомного курса статистики М. Кендалла и А. Стьюарта, первый том которого вышел в 1966 г. под названием «Теория распределений». В книге содержатся сведения по теории оценивания, проверке гипотез, корреляционному анализу, регрессии, непараметрическим методам, последовательному анализу. Предисловие...
Prentice Hall – 2012, 768 pages. ISBN: 0321693949. Noted for its integration of real-world data and case studies, this text offers sound coverage of the theoretical aspects of mathematical statistics. The authors demonstrate how and when to use statistical methods, while reinforcing the calculus that students have mastered in previous courses. Throughout the Fifth Edition, the...
ORеilly Media, 2009. - 717 pages. This book will help you pass your statistics course, and give you a firm understanding of the subject so you can apply the knowledge throughout your life. Whether you're a student, a professional, or just curious about statistical analysis, Head First's brain-friendly formula helps you get a firm grasp of statistics so you can understand key...
М.: Статистика, 1978. — 248 с.
Книга посвящена вопросам статистической обработки данных ограниченного объема, так называемых малых выборок. Обосновываются методики оценивания моментов и проверки статистических гипотез при использовании этих методов. Приводятся некоторые решения задач анализа малых выборок.
Курс лекций. — Новосибирск: Новосибирский государственный университет (НГУ), 2002 — 180 с.: ил. — (Математические методы и исследование операций в экономике). Предлагаемый вашему вниманию курс теоретической статистики содержит материал из классических разделов математической статистики. Речь пойдет об оценке параметров, проверке гипотез, немного о регрессионном анализе. Курс...
Учебник. — М: Финансы и статистика, 2003. — 352 с. Рассматриваются многомерные генеральная и выборочная совокупности, корреляционный, регрессионный, компонентный, факторный анализ, канонические корреляции. Подробно изложены методы многомерной классификации, робастного оценивания. Учебник содержит математико-статистические таблицы, а также конкретные примеры и пояснения,...
Томск: Изд-во Томского университета, 1976. — 289 с.
Многие достижения современной физики, радиотехники, технической кибернетики, измерительной техники, дефектоскопии, геофизики, биологии, медицины, социологии и других наук, связанных с обработкой экспериментальных данных, основаны на применении разнообразных статистических методов. Сейчас все большую актуальность приобретают...
СПб.: Лань, 2010. — 704 с.
В учебнике излагаются основания современной математической статистики, предельные теоремы для эмпирических распределений и основных типов статистик, основы теории оценок и теории проверки гипотез. Рассматриваются методы отыскания оптимальных и асимптотически оптимальных процедур. Значительное внимание уделено статистике разнораспределенных наблюдений...
Теоретические основы. Предварительные сведения. Предмет математической статистики и ее основные задачи. Выборка. Статистический ряд. Эмпирический закон распределения. Полигон и гистограмма. Статистические оценки генеральных параметров. Точечные и интервальные оценки для математического ожидания и дисперсии. Проверка статистической гипотезы о законе распределения генеральной...
М.: Издательский дом Высшей школы экономики, 2012. — 310 с.
В учебном пособии излагаются важнейшие понятия математической статистики, описываются статистические модели и методы статистического анализа реальных данных. Все рассмотренные методы проиллюстрированы примерами, которые снабжены подробными решениями и комментариями. В конце каждого раздела приводятся задачи для...
2nd Edition. — Springer, 2021. — 616 p. — (Springer Texts in Statistics). — ISBN 978-1-0716-1417-4. An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the...
Лучший учебник по статистике. Это PDF с распознанным текстом (возможен поиск) и размером 15 мб ( в отличие от 130 мб версии с нераспознанным текстом) W.W. Norton & Company, 2007. – 4th ed. – 715 p. – ISBN: 0393930432, 0393929728, 9780393929720 Renowned for its clear prose and no-nonsense emphasis on core concepts, Statistics covers fundamentals using real examples to illustrate...
М.: Госпланиздат, 1939. — 358 с. Книга издана специально для начинающих в области математической статистики. Написана с блеском, сверхясно без современного "онаучивания" простым языком. Достаточно сказать, что рассказ о средних (арифметическая, геометрическая, гармоническая) занимает целую главу с примерами и задачами. Теория вероятностей Введение Понятие о статистическом...
Статистика простым языком. 3rd Edition. — NY: Routledge Taylor and Francis Group, 2010. — 223 p. — ISBN: 978-0-415-87291-1. This inexpensive paperback provides a brief, simple overview of statistics to help readers gain a better understanding of how statistics work and how to interpret them correctly. Each chapter describes a different statistical technique, ranging from basic...
2nd ed. — Duxbury Press, 2001. — 686 p. — ISBN: 0534243126. This book builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions and consequences of previous concepts....
4th ed. – W.W. Norton & Company, 2007. – 715 p. – ISBN: 0393930432, 0393929728, 9780393929720 Renowned for its clear prose and no-nonsense emphasis on core concepts, Statistics covers fundamentals using real examples to illustrate the techniques. The Fourth Edition has been carefully revised and updated to reflect current data. About the Author David Freedman received his B.Sc....
Пер. с англ. Д. С. Шмерлинга. — Под ред. Ю. П. Адлера и Ю. Н. Тюрина. — М.: Финансы и статистика, 1983. — 518 с. Книга представляет собой руководство по непараметрической статистике для пользователей. Методы непараметрической статистики обладают обширной областью приложения, математической простотой и доступностью при довольно высокой эффективности. Рассматривается, в...
Учебник. — Томск: Изд-во НТЛ, 2012. — 388 с. — ISBN: 978-5-89503-502-3 В учебнике в доступной форме изложены для первоначального изучения основные понятия и методы трех современных разделов математической статистики. В первой части – это классические результаты теории оценивания параметров и проверки статистических гипотез в рамках параметрических моделей. Во второй – описание...
Wiley-Interscience, 1998. — 740 p. A comprehensive look at learning and generalization theory. The statistical theory of learning and generalization concerns the problem of choosing desired functions on the basis of empirical data. Highly applicable to a variety of computer science and robotics fields, this book offers lucid coverage of the theory as a whole. Presenting a...
М.: Мир, 1980. — 536 с. Монография посвящена изучению временных рядов, встречающихся в различных областях физики, механики, астрономии, техники, экономики, биологии, медицины. Основная ориентация книги - практическая: методы теоретического анализа иллюстрируются детально проработанными примерами, а результаты наглядно представлены на многочисленных графиках. Для более глубокого...
Учебник. — СПб.: Питер; Киев: ДиасофтЮП, 2005. – 638 с. — ISBN: 5-93772-122-5. — ISBN: 5-469-00813-4. В доступной для неподготовленного читателя форме в книге рассматриваются актуальные вопросы статистической обработки информации, возникающей в ходе маркетинговых исследований. Большое внимание сосредоточено на интерпретации и объяснении статистических характеристик, полученных...
Wiley, 2011. — 222 p. — ISBN: 0470641835, 9780470641835. A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary Introduction to Statistical Learning Theory is a comprehensive and accessible primer...
Cambridge: Cambridge University Press, 2016. — 495 p.
The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we...
Springer, 2023. — 616 p. — (Springer Texts in Statistics). — ISBN 3031391896. An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This...
Уч. пособ. - Новосиб: изд. НГАСУ, 2000. - 125 с. Теория + Большое количество примеров. Разделы матем. статистики: Точечное и интервальное оценивание параметров распределений. Проверка различных статистических гипотез. Большое кол-во приведенных примеров позволит лучше понять и усвоить не только общетеор. положения, но и возм. области приложения матем. статистики. Содержание:...
2nd Edition. — Springer International Publishing AG, 2017. — 481 p. — ISBN10: 3319475770 This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view. It integrates methods from data mining, machine learning, and statistics within the computational framework and therefore appeals to multiple communities. The chapters of this...
Pearson, 2013. — 704 p. — 7th ed. —ISBN: 0321795431, 9780321795434
In the preparation of this seventh edition, our goal has remained steadfast: to produce an outstanding text in mathematical statistics. In this new edition, we have added examples and exercises to help clarify the exposition. For the same reason, we have moved some material forward. For example, we moved the...
Учебное издание — М.: Изд - во МГУ, 1987. — 264 с. Книга предназначена для начального изучения математической статистики. Основные понятия, задачи и методы математической статистики вводятся на примере простых статистических моделей. Значительное внимание уделено, с одной стороны, численным и графическим иллюстрациям, с другой - логическим основам математической статистики. Для...
2nd ed. — Springer, 2011. — 857 p. — (Springer Texts in Statistics). — ISBN 1461403901, 9781461403906. Many mathematical statistics texts are heavily oriented toward a rigorous mathematical development of probability and statistics, without much attention paid to how statistics is actually used. In contrast, Modern Mathematical Statistics with Applications, Second Edition...
San Francisco: No Starch Press, 2019. — 289 p. — ISBN 1593279566. Fun guide to learning Bayesian statistics and probability through unusual and illustrative examples. Probability and statistics are increasingly important in a huge range of professions. But many people use data in ways they don't even understand, meaning they aren't getting the most from it. Bayesian Statistics...
New York: Chapman and Hall/CRC, 2019. — 310 p. The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model...
Hoboken: Wiley, 2016. - 150p.
Causality is central to the understanding and use of data. Without an understanding of cause effect relationships, we cannot use data to answer questions as basic as, “Does this treatment harm or help patients?” But though hundreds of introductory texts are available on statistical methods of data analysis, until now, no beginner-level book has...
Учебник. — Томск: НТЛ, 2012. — 520 с. — ISBN: 978-5-89503-508-5. В учебнике в доступной форме изложены для первоначального изучения основные понятия и методы трех современных разделов математической статистики. В первой части – это классические результаты теории оценивания параметров и проверки статистических гипотез в рамках параметрических моделей. Во второй – описание...
Boca Raton: CRC Press, 1984. — 366 p.
The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved from pencil and paper to calculators, this text's use of trees was unthinkable before computers. Both the practical and theoretical sides have been developed in the authors' study of tree methods....
N.-Y.: CRC Press, 2014. — 580 p.
Matrices, Vectors, and Their Operations Basic definitions and notations Matrix addition and scalar-matrix multiplication Matrix multiplication Partitioned matrices The "trace" of a square matrix Some special matrices Systems of Linear Equations Introduction Gaussian elimination Gauss-Jordan elimination Elementary matrices Homogeneous linear...
Учебник. — Томск: НТЛ, 2012. — 540 с. — ISBN: 978-5-89503-492-7. В учебнике в доступной форме изложены для первоначального изучения основные понятия и методы трех современных разделов математической статистики. В первой части – это классические результаты теории оценивания параметров и проверки статистических гипотез в рамках параметрических моделей. Во второй – описание...
Duxbury Press, 1995. — 671 pages. This is the first text in a generation to re-examine the purpose of the mathematical statistics course. The book's approach interweaves traditional topics with data analysis and reflects the use of the computer with close ties to the practice of statistics. The author stresses analysis of data, examines real problems with real data, and...
Учебник, 4-е изд., испр. - М.: Дрофа, 2002. - 336 с.: ил. - ISBN 5-7107-6039-0.
В учебнике содержатся наиболее важные разделы математической статистики: оценивание числовых характеристик и закона распределения случайной величины, проверка гипотез, дисперсионный и корреляционно-регрессионный анализ, а также необходимые для понимания этих разделов сведения по теории вероятностей....
М.: Наука, 1984. — 472 с. Книга написана на основании лекций, которые читались автором в течение многих лет на 3-м курсе математического факультета Новосибирского университета. Книга охватывает широкий круг вопросов, включающий в себя основания современной математической статистики, предельные теоремы для эмпирических распределений и основных типов статистик, основы теории...
М.: Мир, 1975. — 776 с. В книге систематически изложены основные разделы теории статистических выводов. Наиболее подробно рассмотрены методы получения оценок, эффективность оценок при квадратичной функции потерь, свойства оценок максимального правдоподобия, а также вопросы допустимости различных оценок. Строгие утверждения комментируются пояснительными примерами, в конце каждой...
Cambridge University Press, 1997. — 594 p. — ISBN: 0521574714, 978-0521574716. This book gives a broad and up-to-date coverage of bootstrap methods, with numerous applied examples, developed in a coherent way with the necessary theoretical basis. Applications include stratified data; finite populations; censored and missing data; linear, nonlinear, and smooth regression models;...
Wiley, 2013. — 848 p. — 3rd ed. — ISBN: 0470387378, 9780470387375 Praise for the Second Edition This book should be an essential part of the personal library of every practicing statistician. — Technometrics Thoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes additional modern topics and procedures, more practical data sets, and new...
Springer International Publishing, Switzerland, 2016. — 457 p. — ISBN: 3319461605 This book will benefit beginners and self-learners from various backgrounds as we complement each chapter with various exercises and detailed and comprehensible solutions. The results involving mathematics and rigorous proofs are separated from the main text, where possible, and are kept in an...
6th ed. — Sage Publications, 2016. — 480 p. — ISBN: 978-1506333830. The Sixth Edition of Neil J. Salkind’s best-selling Statistics for People Who (Think They) Hate Statistics promises to ease student anxiety around an often intimidating subject with a humorous, personable, and informative approach. Salkind guides students through various statistical procedures, beginning with...
3rd edition. — Springer, 2021. — 981 p. — (Springer Texts in Statistics). — ISBN 978-3-030-55155-1. This 3rd edition of Modern Mathematical Statistics with Applications tries to strike a balance between mathematical foundations and statistical practice. The book provides a clear and current exposition of statistical concepts and methodology, including many examples and...
8th Edition. — Pearson Education, 2019. — 762 p. — ISBN: 9780134686998. For courses in mathematical statistics. Comprehensive coverage of mathematical statistics — with a proven approach Introduction to Mathematical Statistics by Hogg, McKean, and Craig enhances student comprehension and retention with numerous, illustrative examples and exercises. Classical statistical...
Учебное пособие. — Томск: HTЛ, 2012. — 168 с. — ISBN: 978-5-89503-489-7. Книга написана на основе курса лекций по теории вероятностей и математической статистике, в течение ряда лет читавшихся автором на факультете информатики Томского госуниверситета. В учебное пособие вошли материалы по основным разделам современной математической статистики. Книга предназначена для студентов...
М.: Статистика, 1980. — 319 с. До недавнего времени единственным средством изучения огромных массивов качественных данных (в социологических исследованиях, экспертизах и т. п. ) были группировочные таблицы. В последние годы стали развиваться методы, учитывающие качественный характер такой информации. Данная монография - систематическое изложение этого нового направления в...
George Mason University, 2013. — 917 p. This document is directed toward students for whom the theory of statistics is or will become an important part of their lives. Obviously, such students should be able to work through the details of "hard" proofs and derivations; that is, students should master the fundamentals of mathematical statistics. In addition, students at this...
AI Publishing LLC, 2020. — 329 p. — ISBN 978-1-7347901-6-0. Data and statistics are the core subjects of Machine Learning (ML). The reality is the average programmer may be tempted to view statistics with disinterest. But if you want to exploit the incredible power of Machine Learning, you need a thorough understanding of statistics. The reason is a Machine Learning...
McGraw-Hill Professional, 2004. — 350 р. Now anyone who has mastered basic statistics can easily take the next step up. In Advanced Statistics Demystified, experienced statistics instructor Larry J. Stephens provides an effective, anxiety-soothing, and totally painless way to learn advanced statistics - from inferential statistics, variance analysis, and parametric and...
М.: МФТИ, 2014. — 217 с. В основе книги лежит курс лекций, читаемый автором студентам магистратуры и аспирантам Московского физико-технического института. Излагается кинетический подход к анализу и прогнозированию нестационарных временных рядов, т.е. подход, основанный на кинетических уравнениях относительно функции распределения случайной величины. Основное внимание уделено...
N.-Y.: CRC Press, 2014. — 241 p. Bayesian Networks: With Examples in R introduces Bayesian networks using a hands-on approach. Simple yet meaningful examples in R illustrate each step of the modeling process. The examples start from the simplest notions and gradually increase in complexity. The authors also distinguish the probabilistic models from their estimation with data...
Wiley, 2019. — 510 p. — ISBN: 978-1-119-26407-1. A comprehensive resource that draws a balance between theory and applications of nonlinear time series analysis Nonlinear Time Series Analysis offers an important guide to both parametric and nonparametric methods, nonlinear state-space models, and Bayesian as well as classical approaches to nonlinear time series analysis. The...
N.-Y.: Wiey, 2014. — 622 p. — ISBN: 978-1-118-60550-9.
Provides the necessary skills to solve problems in mathematical statistics through theory, concrete examples, and exercises.
With a clear and detailed approach to the fundamentals of statistical theory, Examples and Problems in Mathematical Statistics uniquely bridges the gap between theory andapplication and presents...
Учебное пособие. -Тверь: Тверской государственный технический университет, 2016. -104 с. ISBN: 978-5-7995-0839-5 Рассмотрены задачи оценки законов распределения, точечного и интервального оценивания числовых характеристик и параметров распределения, проверки статистических гипотез, а также элементы корреляционного, регрессионного и дисперсионного анализа. Материал изложен таким...
Cambridge University Press, 2000. — 462 p. — (Cambridge Series in Statistical and Probabilistic Mathematics). — ISBN: 0521784506, 9780521784504 Here is a practical and mathematically rigorous introduction to the field of asymptotic statistics. In addition to most of the standard topics of an asymptotics course-likelihood inference, M-estimation, the theory of asymptotic...
М.: Наука, 1967. — 632 с.
Цель этой книги — познакомить читателя с математической статистикой. Наличие предварительных знаний у читателя в области теории вероятностей или математической статистики, вообще говоря, не предполагается, хотя знакомство с хорошими университетскими курсами в этих областях математики было бы полезным. Книга подготовлена в основном на материале, который...
Springer. 2014. — 185 Pages. ISBN: 3642368492. The complexity of today’s statistical data calls for modern mathematical tools. Many fields of science make use of mathematical statistics and require continuous updating on statistical technologies. Practice makes perfect, since mastering the tools makes them applicable. Our book of exercises and solutions offers a wide range of...
Springer. 2014. — 400 pages. ISBN10: 1461487749. This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. Statistical Modeling and Computation provides a unique introduction to modern Statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of Mathematical Statistics and...
Учебное пособие. — М.: Московский институт электроники и математики (МИЭМ), 2011. — 118 с. В первой части пособия рассмотрены дополнительные вопросы теории вероятностей, необходимые для изучения математической статистики, и начальные сведения по математической статистике. Во второй части пособия подробно изложены вопросы, связанные с решением одной из основных задач...
Prentice Hall, 2003. — 704 p.
Bayesian networks are graphical structures for representing the probabilistic relationships among a large number of variables and doing probabilistic inference with those variables. During the 1980’s, a good deal of related research was done on developing Bayesian networks (belief networks, causal networks, influence diagrams), algorithms for...
Томск: НТЛ, 2016. — 260 с. — ISBN: 978-5-89503-575-7. Классические методы статистики в большинстве своем обладают повышенной чувствительностью к исходным предпосылкам статистической модели, принятой при обработке данных эксперимента. При решении прикладных задач неизбежно возникают отклонения от исходных предпосылок модели, и применение стандартных методов в этих условиях может...
Курс лекций. — Красноярск: Сибирский федеральный университет (СФУ), 2009. — 189 с. Издание является частью электронного учебно-методического комплекса по дисциплине «Математическая статистика», включающего учебную программу дисциплины, практикум по решению задач «Математическая статистика в примерах и задачах», методические указания по самостоятельной работе,...
New York: Springer-Verlag, 2002. — 488 pp. Second Edition We wrote this book to introduce graduate students and research workers in various scientific disciplines to the use of information-theoretic approaches in the analysis of empirical data. These methods allow the data-based selection of a best model and a ranking and weighting of the remaining models in a pre-defined set....
Hoboken: Wiley, 2018. — 897 p. A comprehensive and timely edition on an emerging new trend in time series Linear Models and Time-Series Analysis: Regression, ANOVA, ARMA and GARCHsets a strong foundation, in terms of distribution theory, for the linear model (regression and ANOVA), univariate time series analysis (ARMAX and GARCH), and some multivariate models associated...
Los-Angelos: The Round Thing, 2014. - 108p.
This summarizes recent advances in causal inference and underscores the paradigmatic shifts that must be undertaken in moving from traditional statistical analysis to causal analysis of multivariate data. Special emphasis is placed on the assumptions that underlie all causal inferences, the languages used in formulating those...
Second Edition. — L.: Academic Press, 2015(!). — 803 p. — ISBN: 978-0-12-417113-8. Mathematical Statistics with Applications, Second Edition, gives an up-to-date introduction to the theory of statistics with a wealth of real-world applications that will help students approach statistical problem solving in a logical manner. The book introduces many modern statistical...
Учебное пособие. — СПб: СПбГЭУ, 2017. — 80 с. — ISBN: 978-5-4391-0268-6. Учебное пособие раскрывает возможности использования программной среды R , имеющейся в свободном доступе. Пособие содержит пять тематических разделов: ввод данных и описательная статистика; дисперсионный анализ; парная линейная регрессия; множественная линейная регрессия; анализ одномерных временных рядов;...
Навчальний посібник. – К.: Центр учбової літератури, 2012. – 304 с. — ISBN 978-611-01-0277-3. Розкриваються основи теорії ймовірностей та математичної статистики: предмет, методи, базові категорії, показники тенденцій і мінливості сукупностей, статистичне оцінювання, перевірка статистичних гіпотез з використанням параметричних і непараметричних критеріїв, кореляційний,...
Second Edition. — CRC Press, 2016. — 479 p. The book presents important statistical concepts, methods, and tools not covered in the authors’ previous volume. This second volume focuses on inference in non- and semiparametric models. It not only reexamines the procedures introduced in the first volume from a more sophisticated point of view but also addresses new problems...
Routledge, 2012. — 535 p. — ISBN: 041587968X, 0415879671 This is the first book to introduce the new statistics - effect sizes, confidence intervals, and meta-analysis - in an accessible way. It is chock full of practical examples and tips on how to analyze and report research results using these techniques. The book is invaluable to readers interested in meeting the new APA...
Springer, 2008. — xxv, 733 p. — ISBN 0387781889, 9780387781884. Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the growth of the new disciplines of data mining and machine learning, while the enormous success of the Human Genome Project has opened up the field of bioinformatics. These exciting developments,...
N.-Y.: Pearson Education Limited, 2014. - 477p.
John E. Freund's Mathematical Statistics with Applications, Eighth Edition, provides a calculus-based introduction to the theory and application of statistics, based on comprehensive coverage that reflects the latest in statistical thinking, the teaching of statistics, and current practices. This text is appropriate for a...
Wiley-IEEE Press, 2007. — 959 p. — ISBN: 0470120959, 9780470120958. The first comprehensive development of Bayesian Bounds for parameter estimation and nonlinear filtering/tracking. Bayesian estimation plays a central role in many signal processing problems encountered in radar, sonar, communications, seismology, and medical diagnosis. There are often highly nonlinear problems...
Учебное пособие. — Томск: Томский государственный педагогический университет (ТГПУ), 2018. — 433 с. — ISBN: 978–5–89428–861–1. Издание охватывает базовые направления математической статистики, используемые при анализе экспериментальных данных в областях биологии, медицины, химии, при анализе физических и педагогических измерений. Каждый раздел издания посвящен конкретному...
Springer, 2013. — 455 p.
Монография посвящена анализу выбросов в статистических данных и используемому для этого математическому аппарату. Включает разделы "Введение", "Вероятностные и статистические модели обнаружения выбросов", "Линейные модели обнаружения выбросов", "Обнаружение выбросов, использующие меры близости", "Многомерное обнаружение выбросов - метод подпространств",...
Wiley, 2004. — 514 p. — ISBN: 0471976474, 978-0471976479. Research in the statistical analysis of extreme values has flourished over the past decade: new probability models, inference and data analysis techniques have been introduced; and new application areas have been explored. Statistics of Extremes comprehensively covers a wide range of models and application areas,...
Second Edition. — CRC Press, 2015. — 572 p. The book presents fundamental, classical statistical concepts at the doctorate level. It covers estimation, prediction, testing, confidence sets, Bayesian analysis, and the general approach of decision theory. This edition gives careful proofs of major results and explains how the theory sheds light on the properties of practical...
Syncfusion Inc., 2016 - 104 p. Statistics is the foundation of intelligent data analysis. Statistics Fundamentals Succinctly by Katie Kormanik provides the foundational bricks and mortar needed to master the theories and methodologies behind statistical procedures. In less than 100 pages, you’ll understand how to better gather and interpret all the information at your...
Yale University Press, 2011. — 335 p. — ISBN-10: 0300169698, ISBN-13: 978-0300169690. Bayes' rule appears to be a straightforward, one-line theorem: by updating our initial beliefs with objective new information, we get a new and improved belief. To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok. In the...
Wiley, 2009. – 404 p. – 2nd ed. – ISBN: 0470694483, 0470694491, 9780470694480 This book is a completely revised and updated version of this invaluable text which allows science students to extend necessary skills and techniques, with the topics being developed through examples in science which are easily understood by students from a range of disciplines. The introductory...
Pearson, 2005. – 692 p. – 6th ed. – ISBN: 0130085073, 0131226053, 9780130085078 This classic book retains its outstanding ongoing features and continues to provide readers with excellent background material necessary for a successful understanding of mathematical statistics. Chapter topics cover classical statistical inference procedures in estimation and testing, and an...
8th Edition, Global Edition. — Pearson Education, 2020. — 762 p. — ISBN 978-1-292-26476-9. For courses in mathematical statistics. Comprehensive coverage of mathematical statistics – with a proven approach Introduction to Mathematical Statistics by Hogg, McKean, and Craig enhances student comprehension and retention with numerous, illustrative examples and exercises. Classical...
Сборник задач к типовому расчету для студентов факультета информационно-математических технологий и экономического моделирования всех форм обучения для всех специальностей.
Учебное пособие. — Новосибирск: Новосибирский государственный университет (НГУ), 2007. — 148 с. — ISBN 978-5-94356-523-6. Учебное пособие соответствует требованиям Государственного образовательного стандарта к профессиональным образовательным программам по специальности 061800 «Математические методы в экономике». Предназначено для студентов экономических специальностей.
John Wiley & Sons Inc., 2020. — 873 p. — ISBN: 978-1-118-38798-6. Advanced Statistics with Applications in R fills the gap between several excellent theoretical statistics textbooks and many applied statistics books where teaching reduces to using existing packages. This book looks at what is under the hood. Many statistics issues including the recent crisis with p-value are...
Sixth Edition. — Pearson, 2018. — 753 p. — ISBN: 978-0-13-411421-7. Introducing the principles of statistics and data modeling Introduction to Mathematical Statistics and Its Applications , 6th Edition is a high-level calculus student’s first exposure to mathematical statistics. This book provides students who have already taken three or more semesters of calculus with the...
SAGE Publications, 2020. — 537 p. — ISBN 9781544324579. Neil J. Salkind’s bestselling Statistics for People Who (Think They) Hate Statistics has been helping ease student anxiety around an often intimidating subject since it first published in 2000. Now the bestselling SPSS and Excel versions are joined by a text for use with the R software, Statistics for People Who (Think...
4th edition. — New York: Routlefge, 2017. — 287 p. This introductory textbook provides an inexpensive, brief overview of statistics to help readers gain a better understanding of how statistics work and how to interpret them correctly. Each chapter describes a different statistical technique, ranging from basic concepts like central tendency and describing distributions to more...
Cambridge University Press, 2009. — 548 p. ISBN: 978-0521884389, e-ISBN: 978-0511507281. This book provides a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design,...
Thompson, 2006. - 848 pages.
Many mathematical statistics texts are heavily oriented toward a rigorous mathematical development of probability and statistics, without emphasizing contemporary statistical practice. "Modern Mathematical Statistics with Applications" strikes a balance between mathematical foundations and statistical practice. Accomplished authors Jay Devore and...
2nd edition, corrected 2018 publication. — New York: Springer, 2018. — 854 p. — ISBN: 978-1-4614-0390-6. Modern Mathematical Statistics with Applications, Second Edition strikes a balance between mathematical foundations and statistical practice. In keeping with the recommendation that every math student should study statistics and probability with an emphasis on data analysis,...
2nd corrected printing. — Springer, 1996. — 517 p. — ISBN: 978-1461269038. The jackknife and bootstrap are the most popular data-resampling methods used in statistical analysis. This book provides a systematic introduction to the theory of the jackknife, bootstrap and other resampling methods that have been developed in the last twenty years. It aims to provide a guide to using...
4th ed. — Wiley, 2011. — 227 p. — ISBN: 9780470390634. A new edition of the trusted guide on commonly used statistical distributions Fully updated to reflect the latest developments on the topic, Statistical Distributions, Fourth Edition continues to serve as an authoritative guide on the application of statistical methods to research across various disciplines. The book...
Fourth Edition, Revised and Expanded. — Marcel Dekker, 2003. — 646 p. — ISBN: 0-8247-4052-1. Thoroughly revised and reorganized, the fourth edition presents in-depth coverage of the theory and methods of the most widely used nonparametric procedures in statistical analysis and offers example applications appropriate for all areas of the social, behavioral, and life sciences....
Cambridge: Cambridge University Press, 2000. - 386 p. Written by one of the pre-eminent researchers in the field, this book provides a comprehensive exposition of modern analysis of causation. It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, philosophy, cognitive...
N.-Y.: Chapman and Hall/CRC, 2013. — 569 p.
Providing a much-needed bridge between elementary statistics courses and advanced research methods courses, Understanding Advanced Statistical Methods helps students grasp the fundamental assumptions and machinery behind sophisticated statistical topics, such as logistic regression, maximum likelihood, bootstrapping, nonparametrics,...
М.: Мир, 1978. — 560 с. Первый из авторов монографии хорошо известен читателям по переводам других его книг на русский язык (см" например,Д. Кокс, У. Смит, Теория очередей, "Мир", 1966; Д. Кокс, П. Льюис, Статистический анализ последовательностей событий, "Мир", 1969). В новой книге дана сводка основных понятий и наиболее важных результатов современной математической...
Учебно-практическое пособие. — М.: 2003. — 144 с.
Описательная статистика: выборочные аналоги распределения вероятностей генеральной совокупности (Генеральная совокупность и выборка. Вариационный ряд. Группировка. Характеристики выборочных распределений. Двумерный ряд распределения выборки и его характеристики. Пояснения, примеры и решения задач. Упражнения)
Статистическая...
Wiley, 2018. — 688 p. — ISBN: 1119385288. Explores mathematical statistics in its entirety”from the fundamentals to modern methods This book introduces readers to point estimation, confidence intervals, and statistical tests. Based on the general theory of linear models, it provides an in-depth overview of the following: analysis of variance (ANOVA) for models with fixed,...
Wiley, 2016. — 467 p.
A one-of-a-kind guide to identifying and dealing with modern statistical developments in causality
Written by a group of well-known experts, Statistics and Causality: Methods for Applied Empirical Research focuses on the most up-to-date developments in statistical methods in respect to causality. Illustrating the properties of statistical methods to...
Учебное пособие. — СПб.: Санкт-Петербургский государственный экономический университет (СПбГЭУ), 2018. — 82 с. — ISBN: 978-5-7310-4277-2. В учебном пособии представлены теоретические и алгоритмические основы анализа данных. Предназначено для направления подготовки бакалавров 09.03.02 «Информационные системы и технологии» и 38.03.05 «Бизнес-информатика»; магистров, аспирантов и...
2-е изд., испр. и доп. — Новосибирск: Новосибирский государственный университет (НГУ), 2014. — 150 с. — ISBN: 978-5-4437-0304-6. Учебное пособие содержит полный курс лекций по математической статистике, много лет читаемый автором на втором курсе отделения экономики экономического факультета НГУ. Подбор материала является традиционным для курса теоретической статистики,...
New York: Chapman and Hall/CRC, 2017. — 532 p. Statistical Regression and Classification: From Linear Models to Machine Learning takes an innovative look at the traditional statistical regression course, presenting a contemporary treatment in line with today's applications and users. The text takes a modern look at regression: A thorough treatment of classical linear and...
М.: Энергия, 1979. — 321 с. В книге рассматриваются статистические методы оценки параметров случайных процессов и полей, а также оценки параметров систем автоматического управления по результатам испытаний. Приводятся различные методы оценок, причем основное внимание обращается на корректность и эффективность оценок. Приводятся методы расчета оптимальных оценок и исследуется их...
Курс лекций. — Томск: НТЛ, 2018. — 516 с. — ISBN: 978-5-89503-617-4. Классические методы статистики в большинстве своем обладают повышенной чувствительностью к исходным предпосылкам статистической модели, принятой при обработке данных эксперимента. При решении прикладных задач неизбежно возникают отклонения от исходных предпосылок модели, и применение стандартных методов в этих...
3rd ed. — Wiley, 2003. — 739 p. — ISBN: 0471360910, 9780471360919
Perfected over three editions and more than forty years, this field- and classroom-tested reference:
Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures.
Treats all the basic and important topics in multivariate statistics.
Adds two new chapters,...
Springer, 2010. — 538 p. - Comprehensive coverage of estimation and hypothesis testing, frequentist and Bayesian paradigms, large and small sample methods, and the theory underlying numerical algorithms - Detailed and rigorous exposition designed to make the material clear and accessible - Rich collection of exercises, many with solutions, pushing students to learn the material...
Cambridge University Press. 2013. — 400 pages. ISBN: 0521887933. 'Big data' poses challenges that require both classical multivariate methods and contemporary techniques from machine learning and engineering. This modern text equips you for the new world - integrating the old and the new, fusing theory and practice and bridging the gap to statistical learning. The theoretical...
Blue Windmill Medi, 2016. — 191 p. If you’ve recently used Google search to find something, Bayes’ Theorem was used to find your search results. The same is true for those recommendations on Netflix. Hedge funds? Self-driving cars? Search and Rescue? Bayes’ Theorem is used in all of the above and more. At its core, Bayes’ Theorem is a simple probability and statistics formula that...
Wiley, 2012. — 782 p. — ISBN: 0313384800, 9780470178966. Filled with new and timely content, Methods of Multivariate Analysis, Third Edition provides examples and exercises based on more than sixty real data sets from a wide variety of scientific fields. It takes a "methods" approach to the subject, placing an emphasis on how students and practitioners can employ multivariate...
InTech, 2012. — 300 p. It is more than a century since Karl Pearson invented the concept of Principal Component Analysis (PCA). Nowadays, it is a very useful tool in data analysis in many fields. PCA is the technique of dimensionality reduction, which transforms data in the high-dimensional space to space of lower dimensions. The advantages of this subspace are numerous. First...
Springer, 2014 2015. — 296 p. 1 illus. — (Springer Texts in Statistics). —ISBN: 3642399088, 9783642399084 This textbook provides a unified and self-contained presentation of the main approaches to and ideas of mathematical statistics. It collects the basic mathematical ideas and tools needed as a basis for more serious studies or even independent research in statistics. The...
Cambridge University Press, 2018. — 657 p. — (Cambridge Series in Statistical and Probabilistic Mathematics). — ISBN: 978-1-107-02828-9. All scientific disciplines prize predictive success. Conventional statistical analyses, however, treat prediction as secondary, instead focusing on modeling and hence estimation, testing, and detailed physical interpretation, tackling these...
Boca Raton: CRC Press, 2019. — 461 p. Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for data visualization, and the dplyr package for...
Oxford: Oxford University Press, 2001. - 546p.
Учебное пособие для студентов, изучающих метод максимального правдоподобия в рамках расширенного курса статистического оценивания и моделирования. Рассматриваются основные принципы и свойства оценок максимального правдоподобия, различные модели, в которых используется этот метод оценивания (в том числе различные регрессионые...
Hoboken: Wiley, 2017. — 550 p. An up-to-date version of the complete, self-contained introduction to matrix analysis theory and practice Providing accessible and in-depth coverage of the most common matrix methods now used in statistical applications, Matrix Analysis for Statistics, Third Edition features an easy-to-follow theorem/proof format. Featuring smooth transitions...
Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability (Book 26). — Chapman and Hall/CRC, 1986. — 175 p. — ISBN: 978-0412246203, e-ISBN: 978-1489933249. Although there has been a surge of interest in density estimation in recent years, much of the published research has been concerned with purely technical matters with insufficient emphasis given to the...
Second Edition. — N.-Y.: Springer, 2010. — 249 p. — ISBN: 978-1-4419-5524-1. Conventional statistical methods have a very serious flaw. They routinely miss differences among groups or associations among variables that are detected by more modern techniques, even under very small departures from normality. Hundreds of journal articles have described the reasons standard...
Princeton University Press, 1999. — 575 p. — ISBN: 0691005478, 9780691005478
In this classic of statistical mathematical theory, Harald Cramér joins the two major lines of development in the field: while British and American statisticians were developing the science of statistical inference, French and Russian probabilitists transformed the classical calculus of probability...
2nd edition. — New York: John Wiley & Sons, 2019. — 453 p. A new edition of this popular text on robust statistics, thoroughly updated to include new and improved methods and focus on implementation of methodology using the increasingly popular open-source software R. Classical statistics fail to cope well with outliers associated with deviations from standard distributions....
John Wiley, 2000. — 439 p. The importance of finite mixture models in the statistical analysis of data is underscored by the ever-increasing rate at which articles on mixture applications appear in the statistical and general scientific literature. The aim ofthis monograph is to provide an up-to-date account of the theory and applications of modeling via finite mixture...
Second Edition. — Chapman & Hall/CRC, 2000. — 1002 p. — ISBN: 1-58488-133-X. Called the "bible of applied statistics," the first edition of the bestselling Handbook of Parametric and Nonparametric Statistical Procedures was unsurpassed in its scope. The Second Edition goes even further - more tests, more examples, more than 250 pages of new material. If you have to Decide what...
М.: Изд-во МГУ, 2011. — 136 c. Книга излагает наиболее разработанную к настоящему времени статистику гауссовских (т.е. нормально распределённых) случайных величин. Ядро книги составляет общая теория многомерных линейных моделей, представленная геометрически. Она единым образом рассматривает до того изучавшиеся порознь их конкретные формы (дисперсионный анализ, регрессионный...
Third Edution. — Basel, Birkhäuser, 2007. — 516 p. — ISBN: 978-3764372309.
Книга по теории экстремальных значений и её приложениям. Включает методы анализа, графические и параметрические статистические, рассматривает многомерный случай наряду с одномерным, описывает примеры применения в гидрологии и охране окружающей среды, финансах и страховании, материаловедении и...
7th edition. — SAGE Publications, Inc., 2020. — 513 p. — ISBN 9781544381855. Now in its Seventh Edition, Neil J. Salkind’s bestselling Statistics for People Who (Think They) Hate Statistics with new co-author Bruce B. Frey teaches an often intimidating subject with a humorous, personable, and informative approach that reduces statistics anxiety. With instruction in SPSS, the...
Basic Books, 2019. — 407 p. — ISBN: 978-1-5416-1852-7. The definitive guide to statistical thinking Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the...
Cambridge University Press, 2019. — 572 p. — (Statistical and Probabilistic Mathematics). — ISBN: 978-1-108-49802-9. Recent years have witnessed an explosion in the volume and variety of data collected in all scientific disciplines and industrial settings. Such massive data sets present a number of challenges to researchers in statistics and machine learning. This book provides...
New York: Springer, 2017. — 288 p. This book discusses a variety of methods for outlier ensembles and organizes them by the specific principles with which accuracy improvements are achieved. In addition, it covers the techniques with which such methods can be made more effective. A formal classification of these methods is provided, and the circumstances in which they work well...
Springer, 2013. — 250 p. — ISBN: 9789491216831 — (Atlantis Studies in Probability and Statistics, Vol. 3). This book presents the theory of order statistics in a way, such that beginners can get easily acquainted with the very basis of the theory without having to work through heavily involved techniques. At the same time more experienced readers can check their level of...
2nd ed. — CRC Press, 2010. — 553 p. — ISB: 1439809089, 9781439809082 Presenting an extensive set of tools and methods for data analysis, Robust Nonparametric Statistical Methods, Second Edition covers univariate tests and estimates with extensions to linear models, multivariate models, times series models, experimental designs, and mixed models. It follows the approach of the...
Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability (Book 111). — Chapman and Hall/CRC, 2009. — 235 p. — ISBN: 1439800219, 978-1439800218. Since ROC curves have become ubiquitous in many application areas, the various advances have been scattered across disparate articles and texts. ROC Curves for Continuous Data is the first book solely devoted to the...
2nd ed. — Brooks/Cole, 2009. — 608 p. — ISBN: 0495105279, 9780495105275.
Sharon L. Lohr's Sampling: Design and Analysis, 2nd edition, provides a modern introduction to the field of survey sampling intended for a wide audience of statistics students. Practical and authoritative, the book is listed as a standard reference for training on real-world survey problems by a number of...
Chichester, John Wiley & Sons Ltd, 2006. — 417 p.
Монография посвящена методам робастной статистики. Рассматриваются робастные меры положения и масштаба, характеристики степени робастности оценок и оптимальный уровень робастности, робастные оценки в задачах линейной регрессии, многомерного анализа, обобщенных линейных моделях, анализе временных рядов. Обсуждаются численные...
2-е изд., доп. — Томск: Изд-во ТПУ, 2010. — 42 с. В пособии (1-е изд. 2004) рассмотрены основные алгоритмы и процедуры статистического моделирования данных, используемые при выполнении лабораторных работ по математической статистике. Приведены варианты индивидуального задания по статистическому моделированию и образец его выполнения. Приведен образец организации и выполнения...
Учебное пособие. — Ульяновск: Ульяновский государственный технический университет (УлГТУ), 2016. — 123 с. В пособии содержатся краткие сведения об алгоритмах статистических методов анализа данных, примеры и задания для выполнения расчетов в среде электронных таблиц Excel и системе Statistica . Предисловие. Методы математической статистики . Краткие теоретические сведения....
Springer, 1st edition, 2001. - 224 pages. Directly oriented towards real practical application, this book develops both the basic theoretical framework of extreme value models and the statistical inferential techniques for using these models in practice. Intended for statisticians and non-statisticians alike, the theoretical treatment is elementary, with heuristics often...
Cambridge University Press, 2008. — 738 p. Models and likelihood are the backbone of modern statistics and data analysis. The coverage is unrivaled, with sections on survival analysis, missing data, Markov chains, Markov random fields, point processes, graphical models, simulation and Markov chain Monte Carlo, estimating functions, asymptotic approximations, local likelihood...
(Математическая статистика - Chapman & Hall/CRC, 2000). This book is intended as a textbook (or reference) for a full year Master’s level (or senior level undergraduate) course in mathematical statistics aimed at students in statistics, biostatistics, and related fields. Introduction to Probability. Random experiments. Probability measures. Conditional probability and...
12th Edition, Global Edition. — Pearson, 2018. — 651 p. — ISBN 978-1-292-16541-7. Classic, yet contemporary; theoretical, yet applied–McClave & Sincich’s A First Course in Statistics gives you the best of both worlds. This text offers a trusted, comprehensive introduction to statistics that emphasizes inference and integrates real data throughout. The authors stress the...
Wiley, 1987. — 347 p.
Монография посвящена робастным (устойчивым к выбросам) методам построения одномерных и многомерных регрессионных моделей и обнаружению выбросов. Несмотря на развитие этого подхода в последующие годы, представляет существенный интерес для специалистов по прикладной математической статистике.
Для изучающих регрессионный анализ, робастное оценивание и...
Springer, 2006. — 280 p. There are many books on various aspects of nonparametric inference such as density estimation, nonparametric regression, bootstrapping, and wavelets methods. But it is hard to find all these topics covered in one place. The goal of this text is to provide the reader with a single book where they can find a brief account of many of the modern topics in...
М.; Финансы и статистика, 1982. — 216 с. Формулируются цели, задачи и этапы многомерного статистического анализа. Предлагаемые методы обработки данных основаны на использовании факторного, дискриминантного, корреляционного анализов и моделей структурных уравнений. Приводятся примеры практического применения разработанных методов при анализе различных технико-экономических...
Иркутск: Изд-во БГУЭП, 2003. — 103 с.
Излагаются основные задачи математической статистики (элементы описательной статистики, статистическое оценивание параметров, статистическая проверка гипотез) и использование приемов решения подобных задач в прикладных ее разделах - регрессионном и дисперсионном анализах. Содержание и стиль изложения соответствуют стандартным учебным...
М.: Финансы и статистика, 1982. — 278 с. Сборник представляет собой подбор таблиц, с помощью которых можно обрабатывать наиболее часто встречающиеся статистические задачи, например оценки и тесты. Каждая таблица снабжена четкими индивидуальными определениями. Сфера использования таблицы поясняется на простых примерах. Таблицы предназначены для работников самых разнообразных...
Учебное пособие. — М.: Инфра-М, Новосибирск: Изд-во НГТУ, 2001. — 170 с. (Серия "Высшее образование") , 2-е изд., перераб. и доп. Учебное пособие является результатом многолетнего опыта автора в преподавании курса "Математическая статистика" студентам экономических специальностей. Его особенность - прикладная направленность. Все практические примеры в пособии взяты из области...
Chapman & Hall/CRC, 2010. — 238 p. — (Monographs on Statistics & Applied Probability 116). — ISBN: 1420093436, 978-1420093438. Filling a gap in current Bayesian theory, Statistical Inference: An Integrated Bayesian/Likelihood Approach presents a unified Bayesian treatment of parameter inference and model comparisons that can be used with simple diffuse prior specifications....
New York: Springer, 2021. — 519 p. This 3rd edition of Modern Mathematical Statistics with Applications tries to strike a balance between mathematical foundations and statistical practice. The book provides a clear and current exposition of statistical concepts and methodology, including many examples and exercises based on real data gleaned from publicly available sources....
Second Edition. — N.-Y.: Wiley, 2013. — 496 p. — ISBN: 978-0-470-53331-4.
This new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing. The book is comprised of four main parts spanning the field:
Optimization; Integration and Simulation; Bootstrapping; Density Estimation and Smoothing.
Within these sections, each...
N.-Y.: Springer, 2010. - 518p.
Выходящая вторым изданием монография по методу главных компонент охватывает следующие вопросы: алгебраические свойства главных компонент и их статистическое оценивание, примеры использования в различных отраслях, графические методы анализа, выбор подмножества компонент, связь метода с факторным, регрессионным и другими многомерными методами,...
Boca Raton: CRC Press, 2011. - 284p. Based on the authors’ lecture notes, Introduction to the Theory of Statistical Inference presents concise yet complete coverage of statistical inference theory, focusing on the fundamental classical principles. Suitable for a second-semester undergraduate course on statistical inference, the book offers proofs to support the mathematics. It...
Artech House, 2007. — 883 p. The purpose of this book is not to reprise what has already been adequately addressed. Rather, it is a textbook style introduction to a fundamentally new, seamlessly unified, and fully statistical approach to information fusion. The emergence of unconventional defense and security challenges has greatly increased the need for fusing and exploiting...
Springer, 1999. — 530 p. This book consists of four hundred exercises in mathematical statistics and their solutions. This book is for students preparing for work on a Ph.D. degree in statistics and instructors of mathematical statistics courses, this useful book provides solutions to train students for their research ability in mathematical statistics and presents many...
CRC Press, 2022. — 249 p. — ISBN 9780367705091. One of the primary motivations for clinical trials and observational studies of humans is to infer cause and effect. Disentangling causation from confounding is of utmost importance. Fundamentals of Causal Inference explains and relates different methods of confounding adjustment in terms of potential outcomes and graphical...
N.-Y.: Chapman and Hall/CRC. 2014. — 270 p.
Ever-greater computing technologies have given rise to an exponentially growing volume of data. Today massive data sets (with potentially thousands of variables) play an important role in almost every branch of modern human activity, including networks, finance, and genetics. However, analyzing such data has presented a challenge for...
Revised Edition. — N.-Y.: Wiley, 2013. — 422 p. — ISBN: 978-1-118-65012-7. The critically acclaimed first edition of Understanding Uncertainty provided a study of uncertainty addressed to scholars in all fields, showing that uncertainty could be measured by probability, and that probability obeyed three basic rules that enabled uncertainty to be handled sensibly in everyday...
3rd edition. — New York: John Wiley & Sons, 2019. — 462 p. The topic of missing data has gained considerable attention in recent decades. This new edition by two acknowledged experts on the subject offers an up-to-date account of practical methodology for handling missing data problems. Blending theory and application, authors Roderick Little and Donald Rubin review historical...
3rd Edition. — Academic Press, 2021. — 680 p. — ISBN: 978-0-12-817815-7. This book, Third Edition, offers a modern calculus-based theoretical introduction to mathematical statistics and applications. The book covers many modern statistical computational and simulation concepts that are not covered in other texts, such as the Jackknife, bootstrap methods, the EM algorithms, and...
Wiley, 2019. — 247 p. — ISBN: 978-1-119-01044-9. The first book to discuss robust aspects of nonlinear regression—with applications using R software This book covers a variety of theories and applications of nonlinear robust regression. It discusses both parts of the classic and robust aspects of nonlinear regression and focuses on outlier effects. It develops new methods in...
Wiley, 1980. — 392 p. This paperback reprint of one of the best in the field covers a broad range of limit theorems useful in mathematical statistics, along with methods of proof and techniques of application. The manipulation of "probability" theorems to obtain "statistical" theorems is emphasized. Preliminary Notation and Definitions Modes of Convergence of a Sequence of...
Chapman and Hall/CRC, 2010. – 338 p. – ISBN: 1584885904, 9781584885900 Asymptotic methods provide important tools for approximating and analysing functions that arise in probability and statistics. Moreover, the conclusions of asymptotic analysis often supplement the conclusions obtained by numerical methods. Providing a broad toolkit of analytical methods, Expansions and...
М.: PreMoLab (Laboratory of Structural Methods of Data Analysis in Predictive Modeling), Moscow Institute of Physics and Technology, 2014. – 127 с. Если говорить очень кратко о том, какими задачами занимается статистика, то можно в самом общем виде сказать, что это задачи резюмирования данных. Проще всего пояснить, что такое резюмирование на следующем простом примере....
М.: ИПИ РАН, 2007. — 102 с. Книга посвящена алгоритмам статистического оценивания типа Expectation Maximization (EM) и их приложению к задачам разделения смесей распределений. Включает разделы: "Предварительные сведения", "Общее описание EM-алгоритма", "Монотонность EM-алгоритма", "Некоторые свойства смесей распределений вероятностей", "Решение задачи разделения смесей...
М.: Наука, 1986. — 232 с. Эта книга задумана одновременно как учебник и как справочник для лиц, которым приходится решать линейные задачи теории наименьших квадратов. Достоинством книги являются: отбор наиболее устойчивых методов, полный анализ устойчивости, рассмотрение среднеквадратичных задач с линейными ограничениями, обзор методов перестройки ортогональных разложений при...
Springer International Publishing AG, 2017. — 435 p. — (Studies in Systems, Decision and Control 104) — ISBN: 3319548182. This book presents a broad spectrum of problems related to statistics, mathematics, teaching, social science, and economics as well as a range of tools and techniques that can be used to solve these problems. It is the result of a scientific collaboration...
Wiley, 1982 – 673 p. "It is a very useful source of information for the general statistician and a must for anyone wanting to penetrate deeper into the multivariate field." -Mededelingen van het Wiskundig Genootschap "This book is a comprehensive and clearly written text on multivariate analysis from a theoretical point of view." -The Statistician Aspects of Multivariate...
Wiley, 2ed, 1973 – 648 p. - Translated into six major languages of the world, C. R. Rao's Linear Statistical Inference and Its Applications is one of the foremost works in statistical inference in the literature. Incorporating the important developments in the subject that have taken place in the last three decades, this classic work on statistical inference remains highly...
CRC Press, 2014. — 622 p. A Bit of Background Approaches to Modeling Randomness The Axioms of Probability Conditional Probability Bayes' Theorem Independence Counting Chapter Problems Random Variables Mathematical Expectation The Hypergeometric Model A Brief Tutorial on Mathematical Induction (Optional) The Binomial Model The Geometric and Negative Binomial Models The Poisson...
Chapman and Hall/CRC, 2010. – 461 p. – ISBN: 143980818X, 9781439808184 While continuing to focus on methods of testing for two-sided equivalence, Testing Statistical Hypotheses of Equivalence and Noninferiority, Second Edition gives much more attention to noninferiority testing. It covers a spectrum of equivalence testing problems of both types, ranging from a one-sample...
Cambridge University Press, 2005. — 236 p. This engaging textbook introduces the key ideas behind drawing formal inferences from data. Aimed at advanced undergraduates and graduate students in mathematics and related disciplines, it is a concise account of the main approaches to inference, with particular emphasis on the contrasts between them.
2-е изд., перераб. и доп. — Ростов-на-Дону: Феникс, 2010. — 240 с. Учебное пособие соответствует программе курса математической статистики, рекомендованной Министерством образования и науки Российской Федерации. Предисловие. Введение. Краткие сведения из теории вероятностей. Общие понятия математической статистики. Элементы теории оценивания. Статистическая проверка гипотез....
Wiley-ISTE, 2012. — 304 p. — ISBN: 1848213611, 9781848213616
Generally, books on mathematical statistics are restricted to the case of independent identically distributed random variables. In this book however, both this case AND the case of dependent variables, i.e. statistics for discrete and continuous time processes, are studied. This second case is very important for...
3rd edition. — Wiley, 2003. — 475 p. — (Wiley Series in Probability and Statistics). — ISBN: 0471389269, 9780471389262. A completely revised and expanded edition of a classic resource. In the over twenty years since the publication of the Second Edition of Order Statistics, the theories and applications of this dynamic field have changed markedly. Meeting the challenges and...
Cambridge University Press, 2017. — 670 p. — ISBN: 978-0-521-87826-5. Explosive growth in computing power has made Bayesian methods for infinite-dimensional models - Bayesian nonparametrics - a nearly universal framework for inference, finding practical use in numerous subject areas. Written by leading researchers, this authoritative text draws on theoretical advances of the...
Springer, 1980. — 195 p. The problem of outliers is one of the oldest in statistics, and during the last century and a half interest in it has waxed and waned several times. Currently it is once again an active research area after some years of relative neglect, and recent work has solved a number of old problems in outlier theory, and identified new ones. The major results...
2nd Revised ed. — New York: Dover Publications, 1972. — 331 p. — ISBN: 9780486623498, 0486623491. With the 1954 publication of his Foundations of Statistics, in which he proposed a basis that takes into account not only strictly objective and repetitive events, but also vagueness and interpersonal differences, Leonard J. Savage opened the greatest controversy in modern...
New York: Springer, 2017. — 980 p. This textbook is designed to give an engaging introduction to statistics and the art of data analysis. The unique scope includes, but also goes beyond, classical methodology associated with the normal distribution. What if the normal model is not valid for a particular data set? This cutting-edge approach provides the alternatives. It is an...
Без выходных данных. – 43 с. Краткий курс «Методы математической статистики» – позволяет на основе базовых знаний о статистических методах правильно подойти к выбору необходимой методики для обработки данных. Ведь правильно выбранная статистическая методика – это 80% успеха Вашей работы.. Данный краткий курс посвящен Вам, студенты и аспиранты, которые столкнулись с проблемой...
Учебно-методическое пособие. — М.: РИО МИЭМ НИУ ВШЭ, 2013. — 32 с. Учебно-методическое пособие содержит теоретические сведения, необходимые для выполнения курсовой работы: определения, формулировки теорем, основные формулы. Для каждого задания приведена постановка задачи, указан метод ее решения с подробными комментариями, перечислены функции Excel, которые рекомендуется...
М.: РГУ нефти и газа им. И.М. Губкина. 2005. - 77 с. Конспект лекция для студентов. Настоящее издание представляет собой конспект лекций для студентов изучающих математическую статистику для дальнейшего использования в курсе "Основы компьютерного моделирования"
Москва: Статистика, 1989. — 69 с. Работа М. Г. Кенуя содержит быстрые методы анализа различных математико-статистических показателей: средних величин, показателей вариации, выборочных данных, корреляций и регрессий. При этом большое внимание уделяется нормальному распределению изучаемых данных и вместе с тем рассматривается много статистических методов, для которых не имеет...
Препринт. — М.: ВНИИ системных исследований, 1986. — 62 с. Методы математической статистики, не предполагающие знания функционального вида генеральных распределений. Название "непараметрические методы" подчеркивает их отличие от классических - параметрических - методов, в которых предполагается, что генеральное распределение известно с точностью до конечного числа параметров, и...
Cambridge: Cambridge University Press, 2019. — 794 p. Building on the success of Abadir and Magnus' Matrix Algebra in the Econometric Exercises Series, Statistics serves as a bridge between elementary and specialized statistics. Professors Abadir, Heijmans, and Magnus freely use matrix algebra to cover intermediate to advanced material. Each chapter contains a general...
SIAM, 2008. — 303 p. — ISBN: 0898716489, 978089871648 Written in a simple style that requires no advanced mathematical or statistical background, A First Course in Order Statistics introduces the general theory of order statistics and their applications. The book covers topics such as distribution theory for order statistics from continuous and discrete populations, moment...
13th edition. — Boston: Cengage Learning, 2022. — — 792 p. Overcome any apprehension you may have as you master statistics with «Understandable statistics: concepts and methods». This thorough, yet reader-friendly, program provides clear guidance and informal advice while showing you the connections between statistics and today's world. This intriguing presentation incorporates...
2nd edition. — Cengage Learning, 2001. — 660 pages. This book builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions and consequences of previous concepts. Intended...
Berlin: Springer, 2014. — 381 p. This book covers modern statistical inference based on likelihood with applications in medicine, epidemiology and biology. Two introductory chapters discuss the importance of statistical models in applied quantitative research and the central role of the likelihood function. The rest of the book is divided into three parts. The first describes...
Springer, 1997. — 416. This book is devoted to (a) multivariate models for non-normal response, an area of probability and statistics with increasing activity and applications, and (b) dependence concepts that are useful for analysing properties of multivariate models. It also adds to the knowledge of the space of multivariate distributions. The methods and models of this book...
Philadelphia: SIAM, 2019. — 719 p. — ISBN: 9781611975789. This book develops the theory of probability and mathematical statistics with the goal of analyzing real-world data. Throughout the text, the R package is used to compute probabilities, check analytically computed answers, simulate probability distributions, illustrate answers with appropriate graphics, and help students...
2nd edition. — Walter de Gruyter. Berlin · New York. 2013. — 608 pages. — ISBN: 3110208520. This textbook provides a broad and solid introduction to mathematical statistics, including the classical subjects hypothesis testing, normal regression analysis, and normal analysis of variance. In addition, non-parametric statistics and vectorial statistics are considered, as well as...
Wordpress.com, 2019. — 1590 p. "Statistical Modeling & Analysis: An Introduction Using Spreadsheets" combines the benefits of an introductory textbook with those of an Excel tutorial into one accessible book. Assuming no prior knowledge of statistics, coverage begins with elementary concepts and guides you through advanced topics, including analysis of variance, multiple linear...
Wiley, 2012. — 472 p. — ISBN: 9780470402313
Features new developments in the field combined with all aspects of obtaining, interpreting, and using sample data
Sampling provides an up-to-date treatment of both classical and modern sampling design and estimation methods, along with sampling methods for rare, clustered, and hard-to-detect populations. This Third Edition retains...
Монография. — Томск: Издательство Томского университета, 1993. — 228 с. Традиционные классические методы статистики в большинстве своём обладают повышенной чувствительностью к исходным предпосылкам в статистической модели. При решении прикладных задач неизбежно возникают отклонения от исходных предпосылок, и применение стандартных методов в этих условиях может привести к...
Pearson. 2014 - 257 Pages. ISBN10: 0321824520. ISBN13: 9780321824523. John E. Freund's Mathematical Statistics with Applications, Eighth Edition, provides a calculus-based introduction to the theory and application of statistics, based on comprehensive coverage that reflects the latest in statistical thinking, the teaching of statistics, and current practices. This manual...
6th edition. — Cengage Learning, 2020. — 877 p. — ISBN 978-1-337-79361-2. Peck, Short, and Olsen’s Introduction to Statistics and Data Analysis, 6th Edition lowers the reading level from the previous edition and significantly increases homework scaffolding for difficulty level. In order to get students thinking statistically, this text stresses interpretation and communication...
Hoboken: Wiley, 2017. — 328 p. This book is a stimulating panoramic tour – quite different from a textbook journey – of the world of statistics in both its theory and practice, for teachers, students and practitioners. At each stop on the tour, the authors investigate unusual and quirky aspects of statistics, highlighting historical, biographical and philosophical dimensions of...
Academic Press, 2009. — 848 p. — ISBN: 0123748488, 9780123748485. Many students who do well in mathematics courses find it difficult to understand the concept of statistics. Mathematical Statistics and Its Applications is unique in that it presents the material with well-defined step by step procedures to solve real problems. This helps the students to approach problem solving...
Wiley, 2018. — 431 p. — ISBN: 978-1-118-77097-9. Presents a unified approach to parametric estimation, confidence intervals, hypothesis testing, and statistical modeling, which are uniquely based on the likelihood function This book addresses mathematical statistics for upper-undergraduates and first year graduate students, tying chapters on estimation, confidence intervals,...
Hoboken: CRC Press, 2013. — 180 p. — ISBN: 978-1466584785. Frequently Asked Questions What Questions? What Analysis Should I Use? What Data Do I Need? What Data Is the Author Using in This Book? What about Missing Data? What about Other Topics? What about Computer Packages? Graphical Presentation of Multivariate Data Why Do I Want to Do Graphical Presentations of Multivariate...
Second Edition. — N.-Y.: Wiley, 2008. — 304 p. — ISBN: 978-0470144480.
Praise for the First Edition: "For a beginner [this book] is a treasure trove; for an experienced person it can provide new ideas on how better to pursue the subject of applied statistics." — Journal of Quality Technology.
Sensibly organized for quick reference, Statistical Rules of Thumb, Second Edition...
4th edition. — New York: Academic Press, 2017. — 787 p. Сontents: Problems with Assuming Normality Transformations The Influence Curve The Central Limit Theorem Is the ANOVA F Robust? Regression More Remarks R Software Some Data Management Issues Eliminating Missing Values Data Sets A Foundation for Robust Methods Basic Tools for Judging Robustness Qualitative Robustness...
Учебное пособие. — Омск: СибАДИ, 2016. — 138 с. — ISBN: 978-5-93204-864-1 Содержит кодификатор, введение в математическую статистику, тестовые задания и расчетно-графические работы (РГР) по разделу «Математическая статистика». Раздел представлен четырьмя темами: «Выборки и их характеристики», «Элементы теории оценок», «Проверка статистических гипотез» и «Элементы...
М.: Государственное статистическое издательство, 1956. — 204 с. Настоящее пособие предназначено прежде всего для студентов экономических вузов, изучающих курс математической статистики. Имеется в виду, что оно поможет им в приобретении практических навыков при производстве разного рода математико-статистических расчетов, при использовании различных таблиц и т.п. В соответствии...
Монография. — М.: Наука, Физматлит. 1995. – 240 с. — (Теория вероятностей и математическая статистика). Книга посвящена кругу вопросов математической статистики, связанных с задачами вычисления и анализа асимптотической эффективности непараметрических критериев. Использование новейших результатов в области предельных теорем теории вероятностей, а также методов вариационного...
Учебное пособие. — Барнаул: Алтайский государственный университет (АлтГУ), 2021. — 144 с. Учебное пособие предназначено для студентов всех форм обучения экономических специальностей вузов. Материал по математической статистике и статистической обработке данных представлен в модулях, каждый из которых содержит необходимые краткие теоретические сведения и задания для практических...
В курсе лекций очень емко рассмотрены все основные понятия матстатистики, в том числе: базовые понятия, точечное оценивание, сравнение оценок, эффективные оценки, доверительные интервалы, распределения, проверка гипотез, критерии согласия, линейная регрессия. Имеются упражнения для самостоятельного решения. В формате PDF. 66 стр. Есть удобный переход по темам с помощью закладок.
Cambridge: Cambridge University Press, 2010. — 277 p.
We live in a new age for statistical inference, where modern scientific technology such as microarrays and fMRI machines routinely produce thousands and sometimes millions of parallel data sets, each with its own estimation or testing problem. Doing thousands of problems at once is more than repeated application of classical...
5th Edition. — Hoboken: CRC Press, 2010. — 652 p. — e-ISBN: 978-1-4200-7762-9.
In the fifth edition of this book, we are going to digress from tradition and write a new preface that will replace all earlier prefaces.
Specifically, for the fifth edition, we have:
Entirely revised the textual material on at least 50% of the topics covered in the fourth edition to make it more...
N.-Y.: Wiley, 1997. — 328 p.
Timely, comprehensive, practical-an important working resource for all who use this critical statistical method
Discrete Multivariate Distributions is the only comprehensive, single-source reference for this increasingly important statistical subdiscipline. It covers all significant advances that have occurred in the field over the past quarter...
Springer – 2005, 506 pages ISBN: 1402034180, 9781402034183 This book presents the authors' personal selection of topics in multivariate statistical analysis with emphasis on tools and techniques. Topics included range from definitions of multivariate moments, multivariate distributions, asymptotic distributions of commonly used statistics and density approximations to a modern...
N.-Y.: Wiley, 2002. - 663p.
Doubling as a reference work and as a textbook for advanced students, this book provides a unified treatment of the models and methods used to analyze lifetime data. Chapters concentrate on topics like: observation schemes, censoring, and likelihood; non-parametric and graphical procedures; inference procedures for parametric models; inference...
Elsevier, 2014. — 412 p. — (Handbook of Statistics 32). — ISBN 0444634312, 9780444634313 EISBN 9780444634412 R is open source statistical computing software. Since the R core group was formed in 1997, R has been extended by a very large number of packages with extensive documentation along with examples freely available on the internet. It offers a large number of statistical...
2nd ed. — Springer, 2003. — 591 p. — ISBN: 0387953825, 9780387953823. This graduate textbook covers a huge range of essential topics in statistical theory. This new edition has been revised and updated and in this fourth printing, errors have been ironed out. The first chapter provides a quick overview of concepts and results in measure-theoretic probability theory that are...
М.: Наука, 1972. — 384 с. Пер. с франц. В книге излагаются избранные темы современной математической статистики, в развитие которых автор внес заметный вклад. Первая часть «Вероятностный анализ» написана как вероятностное обобщение математического анализа. Здесь особого упоминания заслуживает подробное исследование различных типов сходимости и детальное изложение закона...
Учебное пособие к практическим занятиям. 2003. Основные понятия и задачи математической статистики. (примеры) Специальные законы распределения математической статистики. (примеры) Статистическая теория оценивания параметров распределения. (примеры) Статистическая проверка параметрических теорий. (примеры) Статистическая проверка непараметрических теорий. (примеры) Линейный...
New York: Springer, 2008. — 540 p. Time-to-event data are ubiquitous in fields such as medicine, biology, demography, sociology, economics and reliability theory. Recently, a need to analyze more complex event histories has emerged. Examples are individuals that move among several states, frailty that makes some units fail before others, internal time-dependent covariates, and...
Academy Press, 2016. — 544 p. — ISBN: 0128024402, 9780128024409
Theory and Methods of Statistics covers essential topics for advanced graduate students and professional research statisticians. This comprehensive resource covers many important areas in one manageable volume, including core subjects such as probability theory, mathematical statistics, and linear models, and...
Wiley, 2014. — 288 p. — 2nd ed. — ISBN: 1118840313, 9781118840313 This Second Edition presents a practical and understandable approach that enhances and expands the statistical toolset for readers. This book includes: New coverage of the sign test and the Kolmogorov-Smirnov two-sample test in an effort to offer a logical and natural progression to statistical power SPSS...
World Scientific Publishing, 2018. — 275 p. — ISBN: 978-981-4663-57-1. The number of books on Nonparametric Methodology is quite small as compared to, say, on Design of Experiments, Regression Analysis, Multivariate Analysis, etc. Because of being perceived as less effective, nonparametric methods are still the second choice. Actually, it has been demonstrated time and again...
Wiley, 2010. — 384 p. — 4th Ed. — ISBN: 0470748656, 9780470748657. Throughout the social, medical and other sciences the importance of understanding complex hierarchical data structures is well understood. Multilevel modelling is now the accepted statistical technique for handling such data and is widely available in computer software packages. A thorough understanding of these...
4th Edition. — Routledge, Taylor & Francis, 2020. — 1186 p. — ISBN: 978-1-315-62435-8. The new edition of An Introduction to Statistical Concepts is designed to help students really understand statistical concepts, the situations in which they can be used, and how to apply them to data. Hahs-Vaughn and Lomax discuss the most popular, along with many of the lesser-known,...
Open Court, 2005. - 470 pages.
In this clearly reasoned defense of Bayes's Theorem — that probability can be used to reasonably justify scientific theories — Colin Howson and Peter Urbach examine the way in which scientists appeal to probability arguments, and demonstrate that the classical approach to statistical inference is full of flaws. Arguing the case for the Bayesian...
4th ed. — McGraw-Hill, 2015. — 922 p. — ISBN: 978-0-07-340133-1. Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. The book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. This edition features a unique approach highlighted by an engaging...
Boca Raton: CRC Press, 2015. - 541p.
A New Way of Analyzing Object Data from a Nonparametric Viewpoint
Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis provides one of the first thorough treatments of the theory and methodology for analyzing data on manifolds. It also presents in-depth applications to practical problems arising in a...
New York: Springer, 2016. — 148 p. — ISBN: 978-4-431-55386-1, e-ISBN: 978-4-431-55387-8
This book provides comprehensive reviews of recent progress in matrix variate and tensor variate data analysis from applied points of view. Matrix and tensor approaches for data analysis are known to be extremely useful for recently emerging complex and high-dimensional data in various...
4th Edition. — N.-Y.: Chapman and Hall/CRC, 2007. — 530 p. — e-ISBN: 978-1-4398-9401-9.
While preserving the clear, accessible style of previous editions, Applied Nonparametric Statistical Methods, Fourth Edition reflects the latest developments in computer-intensive methods that deal with intractable analytical problems and unwieldy data sets.
Reorganized and with...
Springer, 2013. — 532 p. — (Studies in Theoretical and Applied Statistics / Selected Papers of the Statistical Societies). — ISBN: 978-3-642-35587-5, e-ISBN: 978-3-642-35588-2. This volume includes contributions selected after a double blind review process and presented as a preliminary version at the 45th Meeting of the Italian Statistical Society. The papers provide...
Springer, 2000. — 580 p. — ISBN: 0387950273. This book provides a comprehensive treatment of linear mixed models for continuous longitudinal data. Next to model formulation, this edition puts major emphasis on exploratory data analysis for all aspects of the model, such as the marginal model, subject-specific profiles, and residual covariance structure. Further, model...
2-е изд., перераб. и доп. — Ярославль: Ярославский государственный университет им. П. Г. Демидова (ЯрГУ), 2003. — 44 с. Учебное пособие по курсу "Дополнительные главы математической статистики". На простейших примерах рассматривается логика применения статистических и вероятностных рассуждений.
Тамбов: Тамбовский государственный технический университет (ТГТУ), 2005. — 52 с. В учебнике приведены краткие теоретические сведения по основным разделам математической статистики: точечные и интервальные оценки параметров распределения, статистическая проверка статистических гипотез, линейная и нелинейная регрессия. Предложены варианты для выполнения курсовых заданий, имеющие...
Учебное пособие. — М.: Российский государственный аграрный университет - Московская сельскохозяйственная академия им. К.А. Тимирязева (РГАУ-МСХА), 2009. — 50 c. Тесты могут быть использованы студентами всех факультетов в качестве дополнительного пособия к действующим учебникам. Содержащиеся в книге наборы тестовых выражений способны сформировать у студента совокупность основных...
Hoboken: CRC Press, 2013. — 241 p. List of Figures List of Tables Point Estimation Confidence Intervals, Bounds, and Regions Hypothesis Testing Asymptotic Analysis Bayesian Inference Elements of Statistical Decision Theory Linear Models Probabilistic Review Solutions of Selected Exercises Back Cover
Taylor & Francis Group, LLC. — 2011. — 429 p. — ISBN: 1420099655 In many ways, estimation by an appropriate minimum distance method is one of the most natural ideas in statistics. However, there are many different ways of constructing an appropriate distance between the data and the model: the scope of study referred to by "Minimum Distance Estimation" is literally huge....
Oxford: Oxford University Press,, 2019. — 318 p.. — ISBN: 978-0-19-882763-4. Researchers across the natural and social sciences find themselves navigating tremendous amounts of new data. Making sense of this flood of information requires more than the rote application of formulaic statistical methods. The premise ofStatistical Thinking from Scratchis that students who want to...
N.-Y.: CRC Press, 2014. — 600 p. Introduction and preliminaries Developments of methods and critique of ad hoc methods Introduction and overview Perspective and historical overview Bayesian methods Joint modeling of longitudinal and time-to-event data Introduction and overview Missing data methods: a semi-parametric perspective Double-robust methods Pseudo-likelihood methods...
New York: Pearson, 2014. — 540 p. This solid text presents ideas and concepts more clearly for students who have little or no background in statistics. The Twelveth Edition retains all the elements and style that educators nationwide have come to expect—clear prose, excellent problems and precise presentation of mathematics involved—while eliminating some of the computational...
L.: Routledge, 2016. - 663 p. More comprehensive than other texts, this new book covers the classic and cutting edge multivariate techniques used in today’s research. Ideal for courses on multivariate statistics/analysis/design, advanced statistics or quantitative techniques taught in psychology, education, sociology, and business, the book also appeals to researchers with no...
Robert Jonsson, 2014. — 198 p. — ISBN: 8740307522 9788740307528. This volume is dedicated to statistical inference - a process of drawing general conclusions from data in a specific sample. The present book differs from the latter since it focuses on problem solving and only a minimum of the theory needed is presented. Typical inferential problems are: Does alternative A give...
Wadsworth Publishing, 2007. - 672 pages. Master Teacher and writer Roger E. Kirk brings two clear goals to the Fifth Edition of "Statistics: An Introduction": to provide a sound introduction to descriptive and inferential statistics and to help students read and understand statistical presentations in their field. Kirk provides guidelines to help you decide when to use various...
New York: Chapman and Hall/CRC, 2017. - 572 p. This book is about learning from data using the Generalized Additive Models for Location, Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models (GLMs) and Generalized Additive Models (GAMs) to accommodate large complex datasets, which are increasingly prevalent. GAMLSS allows any parametric distribution for the...
6th Edition. — Pearson Education, 2022. — 737 p. Fundamentals of Statistics, 6th Edition helps you connect statistical concepts with an approach that’s taken right from the author’s own classroom. Mike Sullivan draws on his passion for both statistics and teaching to show that statistics is connected not only in concepts, but to the world at large. This brief version of...
4 edition. — Brooks/Cole, Cengage Learning, 2012. — 752 p. — (Available Titles Aplia). — ISBN: 0538733489; ISBN13: 9780538733489. MIND ON STATISTICS helps you develop a conceptual understanding of statistical ideas and shows you how to find meaning in data. The authors-who are committed to changing any preconception you may have about statistics being boring-engage your...
Учебное пособие. — Бишкек: КРСУ, 2018. — 166 с. — ISBN: 978-9967-19-580-6. Приведен основной теоретический материал по корреляционно-регрессионному анализу. Рассмотрены примеры возможных областей приложения данных разделов математической статистики. Изложенные в пособии численные методики решения задач математической статистики в вычислительной среде табличного процессора...
Учебно-методическое пособие для студентов. — М.: Учебный центр Резольвента, 2009. — 30 с. В пособии рассмотрены следующие вопросы: Понятия генеральной совокупности и выборки; Группировка выборочных данных. Интервальный вариационный ряд. Дискретный вариационный ряд; Вычисление характеристик выборки; Точечные и интервальные оценки параметров распределения изучаемой случайной...
Под ред. Р.С. Судакова. — М.: Высшая школа, 1975. — 604 с. Книга посвящена вопросам статистического анализа и планирования испытаний технических устройств в процессе их отработки. Основное внимание уделено биномиальной схеме испытаний (схеме Бернулли), имеющей также широкие приложения в медицине, биологии, социологии, экономике. Последнее позволяет использовать настоящую книгу...
Учебное пособие. — Новосибирск: Сибирский государственный университет телекоммуникаций и информатики (СибГУТИ), 2009. — 90 с. Учебное пособие содержит полугодовой курс лекций по математической статистике для студентов экономических специальностей. Учебное пособие соответствует требованиям Государственного образовательного стандарта к профессиональным образовательным программам...
Academic Press, 2017. — 911 p. — ISBN: 978-0-12-811848-1. This book offers a comprehensive overview of survey sampling, including the basics of sampling theory and practice, as well as research-based topics and examples of emerging trends. The text is useful for basic and advanced survey sampling courses. Many other books available for graduate students do not contain material...
New York: Springer, 2018. — 661 p. This research monograph utilizes exact and Monte Carlo permutation statistical methods to generate probability values and measures of effect size for a variety of measures of association. Association is broadly defined to include measures of correlation for two interval-level variables, measures of association for two nominal-level variables...
Springer, 2010. — 429 p. — ISBN 9781441959034. Multiple Criteria Decision Analysis (MCDA) is the study of methods and procedures by which concerns about multiple conflicting criteria can be formally incorporated into the management planning process. A key area of research in OR/MS, MCDA is now being applied in many new areas, including GIS systems, AI, and group decision...
Springer, 1997. — 715 p. — ISBN: 9781475727654. My goal in writing this book has been to provide teachers and students of multivariate statistics with a unified treatment of both theoretical and practical aspects of this fascinating area. The text is designed for a broad readership, including advanced undergraduate students and graduate students in statistics, graduate students...
Taylor & Francis Group, LLC.
2011 - 216 pages.
ISBN: 1439837732.
Gaussian Process Regression Analysis for Functional Data presents nonparametric statistical methods for functional regression analysis, specifically the methods based on a Gaussian process prior in a functional space. The authors focus on problems involving functional response variables and mixed covariates of...
London: Imperial College Press, 2006. — 552 p. During the last two decades, many areas of statistical inference have experienced phenomenal growth. This book presents a timely analysis and overview of some of these new developments and a contemporary outlook on the various frontiers of statistics. Eminent leaders in the field have contributed 16 review articles and 6 research...
Springer, 1999. — 645 p.
Книга посвящена статистическому оцениванию параметров в больших выборках. Она включает математическое введение, рассмотрение вопроса сходимости, критерии оценки статистических тестов, точечное и интервальное оценивание, многомерные оценки, непараметрическое оценивание, эффективные оценки и статистические тесты.
Для изучающих математическую статистику.
Boca Raton: CRC Press, 2019. — 555 p. A graphical model is a statistical model that is represented by a graph. The factorization properties underlying graphical models facilitate tractable computation with multivariate distributions, making the models a valuable tool with a plethora of applications. Furthermore, directed graphical models allow intuitive causal interpretations...
Springer Nature, Singapore, Pte Ltd., 2016. — 85 p. — (SpringerBriefs in Statistics) — ISBN: 981100157X This book expounds the principle and related applications of nonlinear principal component analysis (PCA), which is useful method to analyze mixed measurement levels data. In the part dealing with the principle, after a brief introduction of ordinary PCA, a PCA for...
N.-Y.: Chapman and Hall/CRC, 2006. — 304 p.
This gracefully organized text reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, figures, tables, and computer simulations to develop and illustrate concepts. Drills and boxed summaries emphasize and reinforce important ideas and special techniques....
New York: Springer, 1995. — 718 p. The aim of this graduate textbook is to provide a comprehensive advanced course in the theory of statistics covering those topics in estimation, testing, and large sample theory which a graduate student might typically need to learn as preparation for work on a Ph.D. An important strength of this book is that it provides a mathematically...
5th Edition. — CRC Press, 2020. — 1927 p. — ISBN: 9780429186196. Following in the footsteps of its bestselling predecessors, this Handbook, Fifth Edition provides researchers, teachers, and students with an all-inclusive reference on univariate, bivariate, and multivariate statistical procedures. New in the Fifth Edition: Substantial updates and new material throughout New...
Wiley, 2019. — 221 p. — ISBN: 978-1-119-52841-8. Comprehensively teaches the basics of testing statistical assumptions in research and the importance in doing so This book facilitates researchers in checking the assumptions of statistical tests used in their research by focusing on the importance of checking assumptions in using statistical methods, showing them how to check...
N.-Y.: CRC Press, 2003. - 250p. Exploring the application and formulation of the EM algorithm, The EM Algorithm and Related Statistical Models offers a valuable method for constructing statistical models when only incomplete information is available, and proposes specific estimation algorithms for solutions to incomplete data problems. The text covers current topics including...
Пер. с англ. П.П. Кольцова. — Под ред. Ю.И. Журавлёва. — М.: Мир, 1980. — 389 с. Книга посвящена теории классификации и кластер-анализу - новому направлению в математической теории распознавания, сформировавшемуся в последние десять лет. Она отражает современное состояние теории, охватывая практически все важнейшие направления исследований в этой области. Представлены как...
Томск: Изд-во ТПУ, 2010. - 80 с. В пособии рассмотрены основные статистические процедуры для представления и предварительной обработки статистических данных, методы точечного и интервального оценивания неизвестных параметров распределений, принципы проверки статистических гипотез. В разделе "Исследование зависимостей" рассмотрены принципы проведения однофакторного,...
Барнаул: Издательство Алтайского государственного университета, 2007. — 44 с.
Собраны основные свойства нормального распределения и связанные с ним Г-распределений, распределений Стьюдента и Фишера. Даны необходимые таблицы, а также описаны способы решения задач, входящих в семестровое расчетное задание по математической статистике.
Учебное пособие. — Екатеринбург: Екатеринбург: Уральский федеральный университет им. первого Президента России Б.Н. Ельцина (УрФУ), 2023. — 108 с. — ISBN 978-5-7996-3726-2. Учебное пособие содержит материал по основам математической статистики, который поможет студентам овладеть методами качественной обработки результатов экспериментальных данных при проведении исследований в...
Нижний Новгород: Нижегородский государственный университет им. Н. И. Лобачевского (ННГУ), 2016. — 120 с. В учебно-методическом пособии рассматриваются современные методы теории статистического оценивания параметров распределений Предназначено для знакомства студентов старших курсов бакалавриата, обучающихся по направлению 38.03.05 – Бизнес-информатика с современными методами...
Elsevier, 1998. — 752 p. The area of Order Statistics received a tremendous attention from numerous researchers during the past century. During this period, several major theoretical advances were made in this area of research. As a matter of fact, two of those have been adjudged as breakthroughs in the field of Statistics [see: Kotz, S. and Johnson, N. L. (1991). Breakthroughs...
New York: O’Reilly, 2008. — 478 p. Need to learn statistics as part of your job, or want some help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference that's perfect for anyone with no previous background in the subject. This book gives you a solid understanding of statistics without being too simple, yet without the numbing...
OpenIntro, Inc., 2015. — 458 p. Data collection Summarizing data Probability Distributions of random variables Foundation for inference Inference for categorical data Inference for numerical data Introduction to linear regression End of chapter exercise solutions Distribution tables
Second Edition. — Lawrence Erlbaum Associates, 2006. Peprinted by Psychology Press, Taylor & Francis Group, 2011. — 272 p. — ISBN: 0805855475.
This book provides a comprehensive introduction to latent variable growth curve modeling (LGM) for analyzing repeated measures. It presents the statistical basis for LGM and its various methodological extensions, including a number of...
New York: Springer Science+Business Media, 2007, 368 p.
The authors present tools and concepts of multivariate data analysis by means of exercises and their solutions. The first part is devoted to graphical techniques. The second part deals with multivariate random variables and presents the derivation of estimators and tests for various practical situations. The last part...
Wiley, 2019. — 279 p. — ISBN: 978-1-119-47042-7. Provides a simple exposition of the basic time series material, and insights into underlying technical aspects and methods of proof Long memory time series are characterized by a strong dependence between distant events. This book introduces readers to the theory and foundations of univariate time series analysis with a focus on...
2nd Ed. — Project MOSAIC Books, 2017. — 161 p. — ASIN B073WDBJ57. "Statistical Modeling: A Fresh Approach" introduces and illuminates the statistical reasoning used in modern research throughout the natural and social sciences, medicine, government, and commerce. It emphasizes the use of models to untangle and quantify variation in observed data. By a deft and concise use of...
Springer, 2022. — 453 p. This innovative textbook presents material for a course on modern statistics that incorporates Python as a pedagogical and practical resource. Drawing on many years of teaching and conducting research in various applied and industrial settings, the authors have carefully tailored the text to provide an ideal balance of theory and practical applications....
CRC Press, 2023. — 259 р. — (Texts in Statistical Science Series). — ISBN: 978-1-032-22383-4. Fundamentals of Mathematical Statistics is meant for a standard one-semester advanced undergraduate or graduate level course on Mathematical Statistics. It covers all the key topics - statistical models, linear normal models, exponential families, estimation, asymptotics of maximum...
Boca Raton, USA: CRC Press, Taylor & Francis Group: Chapman and Hall/CRC, 2018. — 307 p. — (Monographs on Statistics and Applied Probability 161). — ISBN: 1498704476. Sufficient dimension reduction is a rapidly developing research field that has wide applications in regression diagnostics, data visualization, machine learning, genomics, image processing, pattern recognition,...
2nd edition. — New York: John Wiley & Sons, Inc., 2017. — 806 p. The text is designed for use in an introductory statistics course. The focus throughout is on data analysis and the primary goal is to enable students to effectively collect data, analyze data, and interpret conclusions drawn from data. The text is driven by real data and real applications. Although the only...
Cobenhavn, Technical University of Denmark, 2004. - 30p.
Книга посвящена методам нелинейного регрессионного анализа, и содержит постановку задачи и алгоритмы оценивания модели методами Ньютона, Левенберга-Марквардта, Пауэлла и их комбинациями между собой и с методом секущих. Предназначена для специалистов в области разработки алгоритмов и программ математической статистики.
New York: Springer, 2017. — 506 p. This text presents methods that are robust to the assumption of a multivariate normal distribution or methods that are robust to certain types of outliers. Instead of using exact theory based on the multivariate normal distribution, the simpler and more applicable large sample theory is given. The text develops among the first practical robust...
Bloomsbury Academic, 2019. — 276 p. — ISBN: 978-1-3500-2382-6. Multi-dimensional Analysis: Research Methods and Current Issues provides a comprehensive guide both to the statistical methods in Multi-dimensional Analysis (MDA) and its key elements, such as corpus building, tagging, and tools. The major goal is to explain the steps involved in the method so that readers may...
Oxford: Oxford University Press, 2019. — 224 p. The vast majority of statistics books delineate techniques used to analyze collected data.The Joy of Statisticsis not one of these books. It consists of a series of 42 "short stories", each illustrating how statistical methods applied to data produce insight and solutions to the questions the data were collected to answer. Real-life...
Wiley-ISTE, 2019. — 264 p. — (Big Data, Artificial Intelligence and Data Analysis Set; Volume 2). — ISBN: 978-1-786-30382-0. This series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis methods, models, and techniques, along with appropriate applications. Volume 1 begins with an introductory chapter by...
Springer International Publishing AG, 2017. — 176 p. — ISBN: 3319651110. This book gives a description of the group of statistical distributions that have ample application to studies in statistics and probability. Understanding statistical distributions is fundamental for researchers in almost all disciplines. The informed researcher will select the statistical distribution...
Pearson, 2019. — 668 p. From opinion polls and clinical trials to self-driving cars, statistics influences and shapes the world around us. Best-selling author Marty Triola is committed to keeping Essentials of Statistics current — with an unprecedented amount of current real data — so that students of all majors understand the role of statistics in the world around them. In...
Oxford: Oxford University Press, 2003. — 530 p.
An excellent new text which meets the A-level requirements of Statistics as a subject in its own right and as a part of Mathematics. Also a very thorough introduction to the subject for students in higher education who need a grounding in Statistics related to other disciplines.
М.: Финансы и статистика, 1985. — 234 с. Излагается современное состояние ряда вопросов многомерного статистического анализа: информативность признаков и выделение информативной группы признаков; дискриминантный анализ, в том числе со случайными факторами. Даны рекомендации по проведению расчетов. Книга снабжена иллюстрированными примерами.
М.: Мир, 1974. — 282 с. В последнее время все отчетливее проявляется тенденция к формализации основных статистических понятий. Такое развитие математической статистики позволит дать строгое обоснование полуэмпирических приемов, еще нередко встречающихся в практических приложениях. Книга Ж.-Р. Барра содержит формализованное изложение наиболее фундаментальных представлений и идей...
Учебное пособие. — Екатеринбург: Уральский государственный лесотехнический университет, 2023. — 105 с. — ISBN 978-5-94984-864-7. Пособие предназначено для обучающихся по направлениям подготовки «Химическая технология», магистров и аспирантов. В пособии рассмотрены вопросы математического планирования экспериментов и анализа их результатов с применением Microsoft Excel,...
Курс лекций по математической статистике. Разработан преподавателем Новосибирского Государственного университета. (Точечное оценивание, доверительные интервалы, статистические гипотезы, построение критериев, распределения стьюдента, хи-квадрат, фишера и др. )
Монография. — М.: Наука, 1972. — 307 с. Книга посвящена последовательным методам решения класса задач, к которым относится, например, задача нахождения точки максимума функции, если каждое измеренное значение этой функции содержит случайную ошибку. Некоторые основные процедуры стохастической аппроксимации исследованы с единой точки зрения - с точки зрения теории марковских...
Учебное пособие. — М.: ОнтоПринт, 2019. — 128 с. Данное пособие позволяет на основе базовых знаний о статистических методах правильно подойти к выбору необходимой методики для обработки данных. Ведь правильно выбранная статистическая методика – это 80% успеха вашей работы. Эта книга будет полезна студентам и аспирантам, да и просто нуждающимся, которые столкнулись с проблемой...
OpenIntro, Inc., 2015. — 354 p. — ISBN: N\A
Diez D.M., Barr Cr.D., Cetinkaya-Rundel M., Dorazio L.
Introduction to data
Foundation for inference
Inference for categorical data
Inference for numerical data
Introduction to linear regression
Multiple and logistic regression
A Probability
B End of chapter exercise solutions
C Distribution tables
John Wiley & Sons, 2006. — 192 p. — ISBN: 0471667269, 978-0471667261. This publication examines the distinct philosophical foundations of different statistical modes of parametric inference. Unlike many other texts that focus on methodology and applications, this book focuses on a rather unique combination of theoretical and foundational aspects that underlie the field of...
New York: Taylor&Francis Group, 2012. - 840p.
This comprehensive, flexible text is used in both one- and two-semester courses to review introductory through intermediate statistics. Instructors select the topics that are most appropriate for their course. Its conceptual approach helps students more easily understand the concepts and interpret SPSS and research results. Key...
4th ed. — Routledge, 2020. — 461 p. — ISBN: 0367203960, 9780367203962. Statistical Concepts--A First Course presents the first 10 chapters from An Introduction to Statistical Concepts, Fourth Edition. Designed for first and lower-level statistics courses, this book communicates a conceptual, intuitive understanding of statistics that does not assume extensive or recent training...
N.-Y.: Guilford Press, 2013. - 527p. Simple Linear Regression. Multiple Linear Regression. The Simple Mediation Model. Multiple Mediator Models. Miscellaneous Topics in Mediation Analysis. Fundamentals of Moderation Analysis. Extending Moderation Analysis Principles. Miscellaneous Topics in Moderation Analysis. Fundamentals of Conditional Process Analysis. Further Examples of...
CRC Press. 2012. — 410 pages. — ISBN: 1439840687. Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from biomedical sciences to the public health disciplines, and, more recently, in genomics, bioinformatics, and financial statistics. These disciplines are presently nourished by data mining and high-level...
Fourth Edition. — London: Routledge, 2012. — 532 p. Statistical Concepts consists of the last 9 chapters of An Introduction to Statistical Concepts , 3rd ed. Designed for the second course in statistics, it is one of the few texts that focuses just on intermediate statistics. The book highlights how statistics work and what they mean to better prepare students to analyze their...
Boston; London: Artech House, 2014. — 1167 p. — ISBN13: 9781608077984, 1608077985. This book is a sequel to 2007 book, Statistical Multisource-Multitarget Information Fusion [179]. That earlier book was a textbook-style introduction to finite set statistics (also known as random set information fusion), a fundamentally new, seamlessly unified, and fully probabilistic approach...
4th edition. — Boca Raton: CRC Press, 2016. — 271 p.
Multivariate Statistical Methods: A Primer provides an introductory overview of multivariate methods without getting too deep into the mathematical details. This fourth edition is a revised and updated version of this bestselling introductory textbook. It retains the clear and concise style of the previous editions of the...
Second Edition. — Springer-Verlag, 1981. — 310 p. — ISBN: 978-1-4613-8124-2.
As with every book he wrote, the late Professor Miller gives a thorough and scholarly treatment to a difficult topic. This 1981 edition is the second edition of this book originally published by a different publisher in 1966. Both editions have been heavily cited in the statistical literature. This...
Hoboken: John Wiley & Sons Ltd, 2019. — 880 p. — ISBN 1119431980, 9781119431985 This book a strong foundation, in terms of distribution theory, for the linear model (regression and ANOVA), univariate time series analysis (ARMAX and GARCH), and some multivariate models associated primarily with modeling financial asset returns (copula-based structures and the discrete mixed...
Elsevier, 2008. — 335 p. — ISBN: 0444530495. This monograph presents mathematical theory of statistical models described by the essentially large number of unknown parameters, comparable with sample size but can also be much larger. In this meaning, the proposed theory can be called "essentially multiparametric". It is developed on the basis of the Kolmogorov asymptotic...
Springer, 2006. — 474 p. — (Springer Series in Statistics). — ISBN: 0387329153, 9780387346755
Stochastic ordering is a fundamental guide for decision making under uncertainty. It is also an essential tool in the study of structural properties of complex stochastic systems. This reference text presents a comprehensive coverage of the various notions of stochastic orderings,...
Psychology Press, 1994. — 174. A traditional approach to developing multivariate statistical theory is algebraic. Sets of observations are represented by matrices, linear combinations are formed from these matrices by multiplying them by coefficient matrices, and useful statistics are found by imposing various criteria of optimization on these combinations. Matrix algebra is...
Барнаул: Изд-во Алт. гос. ун-та, 2015. — 276 с. В книге рассмотрены основные современные методы анализа многомерных статистических данных. Включены подробные алгоритмы и примеры. Книга также содержит новые результаты, связанные с оцифровкой нечисловых категорированных данных, которые получены автором и ранее публиковались только в виде статей в специализированных журналах.
Навчальний посібник. — К.: Київський національний університет імені Тараса Шевченка (КНУ), 2001. — 52 с. Посібник присвячено методам обробки та аналізу інформації. Основна увага приділяється задачам, які виникають на етапі її попередньої обробки. Описуються можливості використання розвідувального аналізу для цих цілей.
М.: МФТИ, 2022. — 132 с. В данном пособии содержатся задачи, упражнения и вопросы по «Математической статистике», которые автор предлагает студентам 4-го курса физтех-школы прикладной математики и информатики МФТИ на основе читаемого много лет курса кафедры математических основ управления. Задачи посвящены ключевым разделам математической статистики: проверке гипотез о согласии...
Elsevier, 1998. — 733 p. The area of Order Statistics received a tremendous attention from numerous researchers during the past century. During this period, several major theoretical advances were made in this area of research. As a matter of fact, two of those have been adjudged as breakthroughs in the field of Statistics [see: Kotz, S. and Johnson, N. L. (1991). Breakthroughs...
Amsterdam University, 2018. — 384 p. — ISBN: 9462985103. The field of statistics focuses on drawing conclusions from data by modeling and analyzing the data using probabilistic models. The authors of this introductory text describe three key concepts from statistics—estimators, tests, and confidence regions—which they demonstrate and apply in an extensive variety of examples...
Bern: Springer, 2019. — 240 p. — (UNITEXT – La Matematica per il 3+2, 118). — ISBN: 978-3-030-24623-5, 978-3-030-24624-2. This book provides an introduction to various aspects of Algebraic Statistics with the principal aim of supporting Master’s and PhD students who wish to explore the algebraic point of view regarding recent developments in Statistics. The focus is on the...
Springer, 1988. — 220 p. This work is essentially an extensive revision of my Ph.D. dissertation, [1]. It is primarily a research document on the application of probability theory to the parameter estimation problem. The people who will be interested in this material are physicists, economists, and engineers who have to deal with data on a daily basis; consequently, we have...
David Brink & Ventus Publications ApS, 2010. - 58 pages. ISBN: 8776814090 After reading the theory book about Statistics it is time to test your knowledge to make sure that you are well prepared for your exam. Problems for Chapter 2: Basic concepts of probability theory Problems for Chapter 3: Random variables Problems for Chapter 4: Expected value and variance Problems for...
3rd ed. — Springer, 2019. — 618 p. — ISBN: 3030291634. Now in its third edition, this companion volume to Ronald Christensen’s Plane Answers to Complex Questions uses three fundamental concepts from standard linear model theory—best linear prediction, projections, and Mahalanobis distance— to extend standard linear modeling into the realms of Statistical Learning and Dependent...
Wiley, 2008. — 272 p. — ISBN: 0470025662, 9780470025666.
An insightful approach to the analysis of variance in the study of linear models.
Linear Models explores the theory of linear models and the dynamic relationships that these models have with Analysis of Variance (ANOVA), experimental design, and random and mixed-model effects. This one-of-a-kind book emphasizes an approach...
Second Edition. — Hoboken: CRC Press, 2002. — 397 p. Preface to the second edition Preface to the first edition Statistical inference for binary data Models for binary and binomial data Bioassay and some other applications Model checking Overdispersion Modelling data from epidemiological studies Mixed models for binary data Exact Methods Some additional topics Computer software...
Wiley, 1985. — 620 p.
The planning of surveys; The various errors of a survey; Some elementary theory for design; Some variances in random sampling; Multistage sampling, Ratio-estimates, and choice of sampling unit; Allocation in stratified sampling; Distinntion between enumerative and analytic studies; Control of the risks in acceptance sampling; Some theory for analysis and...
N.-Y.: Springer, 2009. - 580p. Монография посвящена оцениванию параметрических и непараметрических регрессионных моделей (сплайновых, ядерных оценок, полиномиальных и др.) на основе подхода максимального правдоподобия с использованием штрафных функций. Она является вторым томом, в первом изложены основы этого подхода (оглавление первого тома также приведено), в третьем...
Version: 29th April 2003. — 488 pages. Most of the observable phenomena in the empirical sciences are of a multivariate nature. In financial studies, assets in stock markets are observed simultaneously and their joint development is analyzed to better understand general tendencies and to track indices. In medicine recorded observations of subjects in different locations are the...
4th edition. — Routledge, 2024. — 357 p. Statistics Explained, now in its fully revised Fourth Edition, is for students and researchers who wish to understand the statistical analyses used to analyze quantitative (numerical) research data in a wide range of academic disciplines, in particular, the behavioral, human, and social sciences. This book explains, in a clear and...
Basel: Birkhäuser, 2004. — 398 p. — ISBN: 978-3-0348-9636-8, 978-3-0348-7958-3. The International Conference for Robust Statistics 2003, ICORS 2003, took place at the University of Antwerp, Belgium, from July 13-18. The conference was intended to be a forum where all aspects of robust statistics could be discussed. As such the scientific program included a wide range of talks...
Wiley, 2016. — 448 p. — ISBN: 1119272033, 9781119272038. Statistics is confusing, even for smart, technically competent people. And many students and professionals find that existing books and web resources don’t give them an intuitive understanding of confusing statistical concepts. That is why this book is needed. Some of the unique qualities of this book are: Easy to...
Springer, 2003. — 607 p. This book is intended for a course entitled Mathematical Statistics offered at the Department of Statistics, University of Wisconsin-Madison. This course, taught in a mathematically rigorous fashion, covers essential materials in statistical theory that a first or second year graduate student typically needs to learn as preparation for work on a Ph.D. degree...
Springer, 2021. — 361 p. — (Springer Series in Statistics). — ISBN 978-3-030-69826-3. This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science. The topics covered include likelihood-based inference, Bayesian statistics, regression, statistical tests and the quantification of...
Second Edition. — New York: W. H. Freeman and Company, 2015. — 890 p. — ISBN: 978-1464111693. Stephen Kokoska’s Introductory Statistics: A Problem-Solving Approach demonstrated that when presented in a precise step-by-step manner, with an understanding of what makes the material difficult, statistics can be made accessible, meaningful, and useful, even to the most skeptical...
N.-Y.: Springer, 2008. - 287p.
Statistical modeling is a critical tool in scientific research. This book provides comprehensive explanations of the concepts and philosophy of statistical modeling, together with a wide range of practical and numerical examples. The authors expect this work to be of great value not just to statisticians but also to researchers and practitioners...
N.-Y.: Springer, 2007. - 328p. This book describes established and advanced methods for reducing the dimensionality of numerical databases. Each description starts from intuitive ideas, develops the necessary mathematical details, and ends by outlining the algorithmic implementation. The text provides a lucid summary of facts and concepts relating to well-known methods as well...
Cambridge University Press, 2019. — 421 p. — ISBN: 978-1-107-18592-0. This book is a mathematically accessible and up-to-date introduction to the tools needed to address modern inference problems in engineering and data science, ideal for graduate students taking courses on statistical inference and detection and estimation, and an invaluable reference for researchers and...
Elsevier Inc. – 2005, 820 pages
ISBN: 0120884941, 9780120884940
Clearly explains concepts and stategies in mathematical statistics.
The highly readable text captures the flavor of a course in mathematical statistics without imposing too much rigor students can concentrate on the statistical strategies without getting lost in the theory.
Students who use this book will be...
Springer, 2011. — 506 p. In teaching linear statistical models to first-year graduate students or to final-year undergraduate students there is no way to proceed smoothly without matrices and related concepts of linear algebra; their use is really essential. Our experience is that making some particular matrix tricks very familiar to students can substantially increase their...
N.-Y.: Wiley, 1984. - 706 p. This up-to-date, comprehensive sourcebook treats data-oriented techniques as well as classical methods. Emphasis is on principles rather than mathematical detail, and coverage ranges from the practical problems of graphically representing high dimensional data to the theoretical problems relating to matrices of random variables. Each chapter serves as...
Boca Raton: CRC Taylor & Francis Group, 2013. — 233 p. In multivariate data analysis, regression techniques predict one set of variables from another while principal component analysis (PCA) finds a subspace of minimal dimensionality that captures the largest variability in the data. How can regression analysis and PCA be combined in a beneficial way? Why and when is it a good...
New York: Routledge, 2021. — 459 p. Roping the reader in with humor and real-world case examples presented as mysteries to be solved, this engaging text has been updated with new cases, the latest version of SPSS, and new coverage of multivariate analysis of variance. Steven R. Terrell prepares students and practitioners to become informed consumers of statistics so that they...
John Wiley & Sons. 2012. — 472 p. — (Wiley Series in Probability and Statistics). — ISBN: 0470402318. Praise for the Second Edition "This book has never had a competitor. It is the only book that takes a broad approach to sampling...any good personal statistics library should include a copy of this book." —Technometrics "Well-written...an excellent book on an important subject....
Учебное пособие. — СПб.: Санкт-Петербургский государственный экономический университет, 2017. — 103 с. — ISBN: 978-5-7310-3922-2. В учебном пособии приведены теоретические сведения по математической статистике, разобран пример решения типовой задачи по данному разделу курса, приведены индивидуальные расчетные задания для самостоятельного выполнения. Пособие соответствует...
Учебное пособие. — Київ: ВПЦ "Київський університет", 2010. — 208 с. Посібник містить основні поняття та результати, які використовуються в теорії вибіркових обстежень, детальну інформацію про різні методи відбору елементів із генеральної сукупності та відповідні методи оцінювання параметрів сукупності. Наведено методи оцінювання лінійних та нелінійних функцій від сумарних...
Челябинск: Изд-во ЮУрГУ, 2008. - 145 с. Пособие предназначено студентам специальностей 010101 - математика и 010200 - прикладная математика и информатика, а также студентам, обучающимся в бакалавриате соответствующих направлений подготовки.
Рассмотрены основные статистические задачи - теория оценивания, статистические процедуры проверки гипотез и некоторые проблемы, связанные со...
М.: Московский государственный технический университет гражданской авиации, 2009. — 64 с.
Пособие содержит методику обработки статистических данных выборки, проверку гипотезы о законе распределения одномерных и двумерных случайных величин, 28 вариантов выборок объёма 100 одномерных случайной величины и 28 вариантов выборок объёма 50 двумерных случайной величины. Для студентов...
Учебное пособие к практическим занятиям. — Харьков: НТУ "ХПИ", 2010. — 232 с. Основные понятия и задачи математической статистики. Специальные законы распределения математической статистики. Статистическая теория оценивания параметров распределения. Статистическая проверка параметрических теорий. Статистическая проверка непараметрических теорий. Линейный регрессионный анализ.
М.: Мир, 1986. — 104 с. Книга крупного австралийского математика содержит сводку основных идей в понятий, на которых базируются многочисленные результаты современных статистических исследований: принцип максимального правдоподобия, достаточные статистики, эффективность решающих правил и др. В книге нашли отражение взгляды автора на пути развития современной математической...
Тамбов: Тамбовский государственный технический университет (ТГТУ), 2013. — 80 с. — ISBN 978-5-8265-1191-6. Содержит базовые понятия математической статистики, изложены методы по использованию математических знаний при решении задач профессиональной деятельности, даны рекомендации по организации самостоятельной работы. Предназначено для студентов высших учебных заведений,...
N.-Y.: Springer, 1993. - 784p. Modern survival analysis and more general event history analysis may be effectively handled in the mathematical framework of counting processes, stochastic integration, martingale central limit theory and product integration. This book presents this theory, which has been the subject of an intense research activity during the past one-and-a- half...
Berlin: Springer, 2015. - 91p. This book examines in detail the correlation, more precisely the weighted correlation and applications involving rankings. A general application is the evaluation of methods to predict rankings. Others involve rankings representing human preferences to infer user preferences; the use of weighted correlation with microarray data and those in the...
2nd Edition. — 2020. — 536 p. OpenIntro is driven by passion, and we're excited to now host a copy of our textbook on Leanpub to allow readers to, if they wish and can afford to, contribute funds back to the project to help us expand our outreach efforts. Data collection Summarizing data Probability Distributions of random variables Foundations for inference Inference for...
Wiley, 2015. — 416 p. A timely collection of advanced, original material in the area of statistical methodology motivated by geometric problems, dedicated to the influential work of Kanti V. Mardia This volume celebrates Kanti V. Mardia′s long and influential career in statistics. A common theme unifying much of Mardia s work is the importance of geometry in statistics, and to...
The Open University in association with Paul Chapman Publishing, 2006. — 288 p. — ISBN: 1412911672, 1412911664, 9781412911665, 9781412911672 'This book should prove to be an important addition to the relatively few publications that exist on statistical thinking. It very nicely encourages the reader to take an active learning approach through simultaneously promoting pedagogy...
2nd ed. — Society for Industrial and Applied Mathematics, 1996. — 79 p. — ISBN: 089871379X, 9780898713794.
Here is a brief, and easy-to-follow introduction and overview of robust statistics. Peter Huber focuses primarily on the important and clearly understood case of distribution robustness, where the shape of the true underlying distribution deviates slightly from the assumed...
Oxford: Oxford University Press, 1996. - 280p.
The Johansen tests of cointegration are development for the five models proposed for johansen, the book includes examples with a database of the monetary sector. The book contains the classic topics in cointegration (test for cointegration, and test for specification of the vector of cointegration alpha and beta vectors), have two...
Springer, 1989. — 93 p. — ISBN: 0387968733, 9780387968735
All students and professionals in statistics should refer to this volume as it is a handy reference source for statistical formulas and information on basic probability distributions. It contains carefully designed and well laid out tables for standard statistical distributions (including Binomial, Poisson, Normal, and...
Wiley. 2006. — 307 pages. ISBN: 0470863064. typically require inputs whose values are not known with certainty. Uncertainty analysis aims to quantify the overall uncertainty within a model, in order to support problem owners in model-based decision-making. In recent years there has been an explosion of interest in uncertainty analysis. Uncertainty and dependence elicitation,...
New York: Pearson, 2011. — 768 p. Noted for its integration of real-world data and case studies, this text offers sound coverage of the theoretical aspects of mathematical statistics. The authors demonstrate how and when to use statistical methods, while reinforcing the calculus that students have mastered in previous courses. Throughout the Fifth Edition, the authors have added...
New York: Chapman and Hall/CRC, 2017. — 191 p. Modern Directional Statistics collects important advances in methodology and theory for directional statistics over the last two decades. It provides a detailed overview and analysis of recent results that can help both researchers and practitioners. Knowledge of multivariate statistics eases the reading but is not mandatory. The...
6th edition. — London: Routledge, 2017. — 379 p. All the statistics traditionally covered in a second-level course are included. Stresses the conceptual and practical aspects for students who do not need emphasis on the underlying mathematical theory. Students learn not only the purpose of and how to compute the statistics using SPSS, they also learn the logic behind the...
Springer, 2015. — 220 p. — ISBN: 978-3-319-11148-3, e-ISBN: 978-3-319-11149-0.
The book is addressed to statisticians working at the forefront of the statistical analysis of complex and high dimensional data and offers a wide variety of statistical models, computer intensive methods and applications: network inference from the analysis of high dimensional data; new developments...
New York: CRC Press, 2015. - 274p.
The first one covers propaedeutic time series and prediction theory, which the reader acquainted with time series analysis can skip. Unlike many other books on time series, I put the chapter on prediction at the beginning, because the problem of predicting is not limited to the field of time series analysis. The second part introduces the UCM,...
Colorado State University: Department of mathematics and physics, 2017. — 143 p. A free textbook for a one-semester, undergraduate statistics course. The goal of this book is to help you learn How to Tell the Truth with Statistics and, therefore, how to tell when others are telling the truth, or lies. Excerpts from the Preface: We contend, however, that statistics are not a...
John Wiley & Sons, Inc. 2016. — 776 pages. ISBN10: 1119127920 This book presents a clear and comprehensive guide to the history of mathematical statistics, including details on the major results and crucial developments over a 200 year period. The author focuses on key historical developments as well as the controversies and disagreements that were generated as a result....
Canberra: ANU (Australian National University) Press, 2015. — 695 p. ‘Bayesian Methods for Statistical Analysis’ is a book on statistical methods for analysing a wide variety of data. The book consists of 12 chapters , starting with basic concepts and covering numerous topics, including Bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical models,...
2nd ed. — Academic Press, 1997. — 572 p.
A Course in Mathematical Statistics, Second Edition, contains enough material for a year-long course in probability and statistics for advanced undergraduate or first-year graduate students, or it can be used independently for a one-semester (or even one-quarter) course in probability alone. It bridges the gap between high and...
Springer, 2006. Introduction to Fuzzy Clustering. Fuzzy Clustering Based Principal Components Analysis. Fuzzy Clustering Based Regression Analysis. Kernel Based Fuzzy Clustering. Evaluation of Fuzzy Clustering. Self-Organized Fuzzy Clustering.
2nd ed. — New York: Routledge, 2020. — 366 p. — ISBN: 978-0367203511. Statistical Methods: An Introduction to Basic Statistical Concepts and Analysis, Second Edition is a textbook designed for students with no prior training in statistics. It provides a solid background of the core statistical concepts taught in most introductory statistics textbooks. Mathematical proofs are...
Springer, 2020. — 370 p. — (ICSA Book Series in Statistics). — ISBN: 3030442446. The three parts of this book on survey methodology combine an introduction to basic sampling theory, engaging presentation of topics that reflect current research trends, and informed discussion of the problems commonly encountered in survey practice . These related aspects of survey methodology...
2nd. ed. — Amazon Digital Services LLC, 2019. — 229 p. — ASIN B07W9945BH. A try to make statistics colorful … This second edition has some new illustrations, such as "Matrix Plot", "Meta-analysis", "Mood's Median test", and more. It has: Handy illustrations on a huge number of statistical topics with beautiful colors . Bonus topics, such as "Meta-analysis", “Important Statistical...
Учебное пособие. — Иркутск: Изд-во БГУЭП, 2009. — 114 с. Учебное пособие предназначено для проведения практических занятий, выполнения домашних и самостоятельных работ, а также тестирования по математической статистике. Содержатся теоретические сведения, задачи, упражнения, контрольные и тестовые задания по математической статистике. Излагаемый материал охватывает основные...
Москва: Московский государственный технический университет гражданской авиации (МГТУ ГА), 2009. — 48 с. Пособие содержит теоретический материал по заданиям, связанным с теорией корреляции и варианты контрольных домашних заданий. Охвачены следующие разделы: определение параметров двумерного распределения, уравнения регрессии, проверка гипотезы о существовании зависимости между...
М.: Наука, Главная редакция физико-математической литературы,1972. — 520 с. Монография посвящена общей теории статистического вывода. Развитые в ней подходы позволяют с единой точки зрения рассмотреть основные понятия и законы математической статистики, методы построения оптимальных статистических оценок и т. п. Книга рассчитана на лиц, занимающихся математической статистикой,...
Birkhäuser, 2008. — 368 p. — ISBN: 0817646256, 9780817646257
Enrique Castillo is a leading figure in several mathematical and engineering fields. Organized to honor Castillo’s significant contributions, this volume is an outgrowth of the "International Conference on Mathematical and Statistical Modeling," and covers recent advances in the field. Applications to safety,...
Б.м.: Save The Broccoli Publishing, 2018. — 242 p. Approaching an introductory statistical inference textbook in a novel way, this book is motivated by the perspective of "probability theory as logic". Targeted to the typical "Statistics 101" college student this book covers the topics typically treated in such a course - but from a fresh angle. This book walks through a simple...
Boston: The MIT Press, 1967. — 266 p. There are many textbooks which describe current methods of statistical analysis, while neglecting related theory. There are equally many advanced textbooks which delve into the far reaches of statistical theory, while bypassing practical applications. But between these two approaches is an unfilled gap, in which theory and practice merge at...
Sociological Methods & Research, Vol. 33, No. 2, November 2004 261-
304. Colorado Cooperative Fish and Wildlife Research Unit (USGS-BRD). 44 pp.
The model selection literature has been generally poor at reflecting the deep foundations of the Akaike information criterion (AIC) and at making appropriate comparisons to the Bayesian information criterion (BIC). There is a clear...
Springer Science+Business Media, 1988. — 264 p. — ISBN: 978-0-412-01421-5.
This monograph provides a careful review of the major statistical techniques used to analyze regression data with nonconstant variability and skewness. The authors have developed statistical techniques-such as formal fitting methods and less formal graphical techniques- that can be applied to many...
Wiley , 2019. — 451 p. — ISBN: 9781118890677, 9781118890578, 9781118456033, 9781118890561, 1118890566, 1118890574, 1118890671. A unique approach to understanding the foundations of statistical quality control with a focus on the latest developments in nonparametric control charting methodologies Statistical Process Control (SPC) methods have a long and successful history and have...
3rd Edition. — Springer, 2020. — 752 p. — ISBN: 9811525366. This book occupies a unique position in the field of statistical analysis in the behavioural and social sciences in that it targets learners who would benefit from learning more conceptually and less computationally about statistical procedures and the software packages that can be used to implement them. The Logic &...
Chapman & Hall/CRC, 2001. — 294 p. Multidimensional scaling covers a variety of statistical techniques in the area of multivariate data analysis. Geared toward dimensional reduction and graphical representation of data, it arose within the field of the behavioral sciences, but now holds techniques widely used in many disciplines. Multidimensional Scaling, Second Edition extends...
Chapman & Hall/CRC, 2014. — 363 p. This book originated from the lecture notes of a course in Statistical Inference taught at the M.Sc. programs in Statistics at UFRJ and IMPA (once). These have been used since 1987. During this period, various modi cations have been introduced until we arrived at this version, judged as minimally presentable. The motivation to prepare this...
Cambridge: Cambridge University Press, 2016. — 228 p.
One of Ian Hacking's earliest publications, this book showcases his early ideas on the central concepts and questions surrounding statistical reasoning. He explores the basic principles of statistical reasoning and tests them, both at a philosophical level and in terms of their practical consequences for statisticians....
N.-Y.: Wiley, 2015. - 384p.
Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators provides a uniquely broad compendium of the key mathematical concepts and results that are relevant for the theoretical development of functional data analysis (FDA). The self contained treatment of selected topics of functional analysis and operator theory...
2nd Edition. — John Wiley & Sons, 2006. — 488 p. — ISBN: 0471468150, 978-0471468158. A complete introduction to discriminant analysis — extensively revised, expanded, and updated. This Second Edition of the classic book, Applied Discriminant Analysis , reflects and references current usage with its new title, Applied MANOVA and Discriminant Analysis . Thoroughly updated and...
DATAtab e.U., 2024. — 412 p. With this statistics e-book, you'll understand the basics of statistics with lots of graphs and simple examples. Introduction Descriptive statistics and inferential statistics Level of measurement Sampling Location parameter Dispersion parameter Frequency table Contingency table (Crosstab) Charts Inferential Statistics Checking assumptions of...
North-Holland Publishing company, 1980. — 1002 p. — (Handbook of Statistics 1). This volume is devoted to different aspects of analysis of variance (ANOVA). Estimation of variance components. Multivariate analysis of variance of repeated measures. Growth curve analysis. Bayesian Manova. Graphical methods in anova and manova. Robustness of anova and manova test procedures. Anova...
2nd ed. — Springer, 2025. — 496 p. — (Springer Texts in Statistics). — ISBN 107164131X. This book, Statistical Modeling and Computation , provides a unique introduction to modern statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of mathematical statistics and modern statistical computation , emphasizing statistical modeling,...
Springer, 2020. — 677 p. — (Springer Series in Operations Research and Financial Engineering). — ISBN: 978-1-0716-0735-0. This book aims to present a comprehensive, self-contained, and concise overview of extreme value theory for time series, incorporating the latest research trends alongside classical methodology. Appropriate for graduate coursework or professional reference,...
Dover Publication, 2000. — 371 p. This new Dover edition, first published in 1963, is a revised and enlarged version ot the work published by Rinehart & Company in 1950 under the former title: The Science of Chance. The first edition of this work, published in 1939, was called Your Chance to Win. In simple, non-technical language, this volume explores the fundamentals governing...
London; Thousand Oaks; New Delhi: SAGE Publications, 1997. — 297 p. A unified treatment of the most useful models for categorical and limited dependent variables (CLDVs) is provided in this book. Throughout, the links among the models are made explicit, and common methods of derivation, interpretation and testing are applied. In addition, the author explains how models relate...
Third Edition. — Hoboken: CRC Press, 2004. — 220 p. The material of multivariate analysis Matrix algebra Displaying multivariate data Tests of significance with multivariate data Measuring and testing multivariate distances Principal components analysis Factor analysis Discriminant function analysis Cluster analysis Canonical correlation analysis Multidimensional scaling...
Oxford: Oxford University Press,, 2019. — 201 p. Interrupted Time Series Analysis develops a comprehensive set of models and methods for drawing causal inferences from time series. It provides example analyses of social, behavioral, and biomedical time series to illustrate a general strategy for building AutoRegressive Integrated Moving Average (ARIMA) impact models....
3rd Edition. — Wiley, 2021. — 585 p. — ISBN 9781119243816. This book, Third Edition helps students grasp essential concepts of statistics and its probabilistic foundations. This book focuses on the development of intuition and understanding in the subject through a wealth of examples illustrating concepts, theorems, and methods. The reader will recognize and fully understand...
Springer, 1991. — 415 p. — ISBN: 1461269555
The present text introduces the student to the basic ideas of estimation and hypothesis testing early in the course after a rather brief introduction to data organization and some simple ideas about probability. Estimation and hypothesis testing are discussed in terms of the two-sample problem. The book exploits nonparametric ideas...
Boca Raton: CRC Press, 2024. - 351 p. - ISBN 1032377399. Unlike mathematics, statistics deals with real-world data and involves a higher degree of subjectivity due to the role of interpretation. Interpretation is shaped by context as well as the knowledge, preferences, assumptions and preconceptions of the interpreter, leading to a variety of interpretations of concepts as well...
3rd edition. — Cengage Learning, 2009. — 684 p. — ISBN10: 8131519546; ISBN13: 978-8131519547. This is the first text in a generation to re-examine the purpose of the mathematical statistics course. The book's approach interweaves traditional topics with data analysis and reflects the use of the computer with close ties to the practice of statistics. The author stresses analysis...
CRC Press / Narosa Publishing, 2001. — 189 p.
This book is an outcome of nearly two decades of my teaching experience both at the graduate and postgraduate level in Loyola College (Autonomous), Chennai 600 034, during which I came across numerous books and research articles on "Sample Surveys".
I have made an attempt to present the theoretical aspects of "Sample Surveys" in a...
Wiley, 1997. — 560 p. — ISBN: 0471184993.
Данная книга является классической работой по линейным статистическим моделям. В ней дано определение линейной модели и приводятся общие процедуры оценки и проверки гипотез. В книге автор показывает их применение для несбалансированных данных, но они в равной степени справедливы и для сбалансированных данных планируемых экспериментов. И...
Wiley, 2006 - 524 p. - This book focuses on summarizing the variability of statistical data known as the analysis of variance table. Penned in a readable style, it provides an up-to-date treatment of research in the area. The book begins with the history of analysis of variance and continues with discussions of balanced data, analysis of variance for unbalanced data, predictions...
VSP BV, 2002. — 320 p.
The field of mathematical statistics called robustness statistics deals with the stability of statistical inference under variations of accepted distribution models. Although robustness statistics involves mathematically highly defined tools, robust methods exhibit a satisfactory behaviour in small samples, thus being quite useful in applications. This...
Second Edition. — Taylor and Francis Group, 2011. — 291 p. — e-ISBN: 978-1-4398-1081-1. Measures of Interobserver Agreement and Reliability, Second Edition covers important issues related to the design and analysis of reliability and agreement studies. It examines factors affecting the degree of measurement errors in reliability generalization studies and characteristics...
Springer, 2002. — 252 p.
This research monograph deals with fast stochastic simulation based on importance sampling (IS) principles and some of its applications. It is in large part devoted to an adaptive form of IS that has proved to be effective in applications that involve the estimation of probabilities of rare events. Rare events are often encountered in scientific and...
Springer, 2015. — 478 p. Wrocław, Poland, February 2015. This volume presents the latest advances and trends in stochastic models and related statistical procedures. Selected peer-reviewed contributions focus on statistical inference, quality control, change-point analysis and detection, empirical processes, time series analysis, survival analysis and reliability, statistics for...
Routledge, 2023. — 267 p. — ISBN 978-1-032-17132-6. Выполнение статистического анализа: руководство для студентов по количественным исследованиям Doing Statistical Analysis looks at three kinds of statistical research questions – descriptive, associational, and inferential – and shows students how to conduct statistical analyses and interpret the results. Keeping equations to a...
5th edition. — New York: Academic Press, 2021. — 921 p. - ISBN: 978-0-12-820098-8. Introduction to Robust Estimating and Hypothesis Testing, Fifth Edition is a useful ‘how-to’ on the application of robust methods utilizing easy-to-use software. This trusted resource provides an overview of modern robust methods, including improved techniques for dealing with outliers, skewed...
Гомель: ГГУ им. Ф. Скорины, 2012. — 45 с.
В практическом руководстве изложены теоретические основы математической статистики. В издание включены следующие разделы: первичная обработка статистических данных, статистические оценки неизвестных параметров распределения, интервальные оценки неизвестных параметров распределения, проверка параметрических гипотез, гипотезы и критерии...
Учебное пособие. — М.: МИСиС, 2014. — 87 с. — ISBN 978-5-87623-775-0. Во второй части пособия рассмотрены практические вопросы регрессионного анализа, включая линейную и нелинейную регрессию, регрессию ортогональными полиномами, множественную регрессию. По всем темам приводятся краткие теоретические сведения и примеры решения реальных задач из металлургии и материаловедения в...
Учебное пособие. — М.: МИСиС, 2018. — 45 с. В пособии рассмотрены практические задачи, которые часто встречаются в практике анализа материаловедческих данных: описательная статистика, проверка вида распределения, сравнение средних и дисперсий, построение и анализ диаграммы рассеяния и расчет парного коэффициента корреляции. Каждый раздел содержит краткое теоретическое введение,...
Учебное пособие. — Казань: Казанский государственный университет (КГУ), 2006. — 98 с. В практике статистических обследований обычно проводятся измерения большого числа показателей, по которым планируется построение тех или иных выводов об объектах исследования. В курсе многомерного статистического анализа изучаются основные методы обработки таких данных: регрессионный анализ,...
ITexLi, 2023. — 173 p. — ISBN 1803563060 9781803563060 1803563052 9781803563053 1803563079 9781803563077. Time series data consist of a collection of observations obtained through repeated measurements over time. When the points are plotted on a graph, one of the axes is always time. Time series analysis is a specific way of analyzing a sequence of data points. Time series data...
2nd. ed. - Boca Raton: CRC Press, 2022. - 236 p. - ISBN 1032007451. Designed for a one-semester advanced undergraduate or graduate statistical theory course, Statistical Theory: A Concise Introduction, Second Edition clearly explains the underlying ideas, mathematics, and principles of major statistical concepts, including parameter estimation, confidence intervals, hypothesis...
Springer, 2018. — 277 p. — (Series in the Data Sciences). — ISBN: 3319941526. This book demonstrates that nonparametric statistics can be taught from a parametric point of view. As a result, one can exploit various parametric tools such as the use of the likelihood function, penalized likelihood and score functions to not only derive well-known tests but to also go beyond and...
Society for Industrial and Applied Mathematics; American Statistical Association, 2004. — 281 p. — ISBN: 0898715660, 9780898715668
Integrating computers into mathematical statistics courses allows students to simulate experiments and visualize their results, handle larger data sets, analyze data more quickly, and compare the results of classical methods of data analysis with...
2nd ed. — Wiley, 1967. — 607 p. — ISBN: 9780471113553, 0471113557. The main objective is to develop competence and self-confidence in the use of statistical methods, which require some understanding of the theoretical background and some practice in the application of statistical methods to actual data.
Boca Raton, CRC Press, 2011. - 279 p.
Книга посвящена вопросу рисования геометрических контуров (линий и окружностей) по наблюдаемым точкам (в частности, при обработке изображений). Работа включает в себя следующие главы: исторический обзор, проведение прямых, проведение окружностей (основные принципы), проведение окружностей (по критерию минимизации расстояний от точек до...
Wiley, 1998. – 349 p. — ISBN: 0-471-19365-8. An exploration of regression graphics through computer graphics. Recent developments in computer technology have stimulated new and exciting uses for graphics in statistical analyses. Regression Graphics , one of the first graduate-level textbooks on the subject, demonstrates how statisticians, both theoretical and applied, can use...
N.-Y.: CRC Press, 2014. - 304p. The First Detailed Account of Statistical Analysis That Treats Models as Approximations The idea of truth plays a role in both Bayesian and frequentist statistics. The Bayesian concept of coherence is based on the fact that two different models or parameter values cannot both be true. Frequentist statistics is formulated as the problem of...
2nd ed. — Wiley, 1997. — 370 p. — ISBN: 0471161195, 9780471161196. A practical guide for multivariate statistical techniques- now updated and revised In recent years, innovations in computer technology and statistical methodologies have dramatically altered the landscape of multivariate data analysis. This new edition of Methods for Statistical Data Analysis of Multivariate...
N.-Y.: SAGE Publications, Inc, 2009. - 392p.
Propensity Score Analysis provides readers with a systematic review of the origins, history, and statistical foundations of PSA and illustrates how it can be used for solving evaluation problems. With a strong focus on practical applications, the authors explore various types of data and evaluation problems related to, strategies for...
Academic Press, 1999. — 435 p.
The first edition of Theory of Rank Tests (1967) has been the precursor to a unified and theoretically motivated treatise of the basic theory of tests based on ranks of the sample observations. For more than 25 years, it helped raise a generation of statisticians in cultivating their theoretical research in this fertile area, as well as in using...
N.-Y.: Psychology Press, 2015. — 266 p.
The Essence of Multivariate Thinking is intended to make multivariate statistics more accessible to a wide audience. To encourage a more thorough understanding of multivariate methods, author Lisa Harlow suggests basic themes that run through most statistical methodology. The most pervasive theme is multiplicity. The author argues that...
Boca Raton: CRC Press, 2019. — 284 p. By reading this book you are expressing an interest in learning about causal inference. But, as a human being, you have already mastered the fundamental concepts of causal inference. You certainly know what a causal effect is; you clearly understand the difference between association and causation; and you have used this knowledge constantly...
John Wiley & Sons, Inc., USA, 2017. — 422 p. — (Wiley Series in Probability and Statistics) — ISBN: 9781119303343. In this important book, internationally acclaimed statistician, Chihiro Hirotsu, goes beyond classical analysis of variance (ANOVA) model to offer a unified theory and advanced techniques for the statistical analysis of experimental data. Dr. Hirotsu introduces the...
Boca Raton: CRC Press, 2014. - 431p.
This book covers a wide range of statistical models, including hierarchical, hierarchical generalized linear, linear mixed, dynamic linear, smoothing, spatial, and longitudinal. It presents a framework for expressing these richly parameterized models together as well as tools for exploring and interpreting the results of fitting the models...
2nd edition. — London: Wiley, 2009. — 363 p. A new edition of the classic, groundbreaking book on robust statistics Over twenty-five years after the publication of its predecessor, Robust Statistics, Second Edition continues to provide an authoritative and systematic treatment of the topic. This new edition has been thoroughly updated and expanded to reflect the latest advances...
This research monograph on circular data analysis covers some recent advances in the field, besides providing a brief introduction to, and a review of, existing methods and models. The primary focus is on recent research into topics such as change-point problems, predictive distributions, circular correlation and regression, etc. An important feature of this work is the S-plus...
D. Van Nostrand Company, Inc., 1947. — 248 p. This book is an elementary text dealing with the mathematics of statistics. Frequency distribution Graphical representation Averages Moments Measures of dispersion Types of distributions. The normal curve Curve fitting Correlation theory Tables
3rd ed. — Springer, 2006. — 228 p. — (Lecture Notes in Statistics, Vol. 88). — ISBN: 0387314091, 9780387314099. This book was originally compiled for a course I taught at the University of Rochester in the fall of 1991, and is intended to give advanced graduate students in statistics an introduction to Edgeworth and saddlepoint approximations, and related techniques. Many other...
2nd ed. — John Wiley & Sons, 2022. — 450 p. — (Wiley Series in Probability and Statistics). — ISBN 1119268133. Nonparametric statistics with applications to science and engineering with R. Introduction to the methods and techniques of traditional and modern nonparametric statistics, incorporating R code. Nonparametric Statistics with Applications to Science and Engineering with...
Hoboken: CRC Press, 2015. - 274p.
A New Approach to Sound Statistical Reasoning
Inferential Models: Reasoning with Uncertainty introduces the authors’ recently developed approach to inference: the inferential model (IM) framework. This logical framework for exact probabilistic inference does not require the user to input prior information. The authors show how an IM produces...
N.-Y.: Psychology Press, 1997. — 334 p. Multivariate statistics refer to an assortment of statistical methods that have been developed to handle situations in which multiple variables or measures are involved. Any analysis of more than two variables or measures can loosely be considered a multivariate statistical analysis. An introductory text for students learning multivariate...
Springer, 1989. — 442 p. — ISBN: 1461269849, 9781461269847
This is the first half of a text for a two semester course in mathematical statistics at the senior/graduate level for those who need a strong background in statistics as an essential tool in their career. To study this text, the reader needs a thorough familiarity with calculus including such things as Jacobians and...
New York: Springer, 2015. - 513p. When We Were Very Young: Some Recollections from Hannu Oja’s First Years of Academic Life Publication and Coauthorship Networks of Hannu Oja Approximate U-Statistics for State Waiting Times Under Right Censoring Nonparametric Location Estimators in the Randomized Complete Block Design Permutation Tests in Linear Regression Highly Robust and...
Boca Raton: CRC Press, 2020. — 490 p. This innovative, intermediate-level statistics text fills an important gap by presenting the theory of linear statistical models at a level appropriate for senior undergraduate or first-year graduate students. With an innovative approach, the author's introduces students to the mathematical and statistical concepts and tools that form a...
Lanham: Rowman & Littlefield Publishers, 2012. — 345 p.
Basic Statistics provides an accessible and comprehensive introduction to statistics using the free, state-of-the-art, powerful software program R. This book is designed to both introduce students to key concepts in statistics and to provide simple instructions for using R.
Teaches essential concepts in statistics,...
ARB Publications, 2022. — 224 p. Not knowing statistics can lead to a loss of money, time, and accurate information. What am I looking at? What do these numbers mean? Why? These are frequent thoughts of those who don’t know much about statistics. “I’m not a number’s person” is not a good excuse to avoid learning the basics of this essential skill. Are you a person who earns...
Cambridge: Cambridge University Press, 2016. — 521 p. This lively book lays out a methodology of confidence distributions and puts them through their paces. Among other merits they lead to optimal combinations of con dence from different sources of information, and they can make complex models amenable to objective and indeed prior-free analysis for less subjectively inclined...
New York: Pearson, 2013. — 646 p. The material in this user-friendly text is presented as simply as possible to ensure that students will gain a solid understanding of statistical procedures and analysis. The goal of this book is to demystify and present statistics in a clear, cohesive manner. The student is presented with rules of evidence and the logic behind those rules. The...
Wiley, 1995. — 449 p. The first seven chapters of this book were developed over a period of about 20 years for the course Linear Statistical Models at Michigan State University. They were first distributed in longhand (those former students may still be suffering the consequences), then typed using a word processor some eight or nine years ago. The last chapter, on frequency...
Stepik, 2022. Курс создан для студентов, которые раннее не сталкивались с математической статистикой, а только хотят ее изучить. В каждом уроке представлен теоретический материал на формальном языке и на интуитивном, чтобы сложилось полноценное понимание предмета. В каждом уроке разобрано несколько видов задач и предложены задачи для самостоятельного решения. После каждого...
Springer, 2020. — 226 p. — ISBN: 978-981-15-7567-9. The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of machine learning and data science by considering math problems and building R programs. As the preliminary part, Chapter 1 provides a...
New Age International (P) Ltd., Publishers, 2004. — 354 p. — ISBN: 978-81-224-2537-6.
This book is intended as a reference for theoreticians and practitioners of statistics and can be used as an auxiliary text for a senior-level course on robustness and statistical inference. This book is also intended to illustrate the appropriateness of various robust methods based on...
2nd Edition. — Lawrence Erlbaum Associates, 2005. — 199 p. Statistics in Plain English, Second Edition provides a brief, simple overview of statistics to help readers gain a better understanding of how statistics work and how to interpret them correctly. It presents brief explanations of statistical concepts and techniques in simple, everyday language. Each self-contained...
John Wiley & Sons, 2013. — 472 pages. — ISBN10: 1118146409 An easily accessible introduction to log-linear modeling for non-statisticians . Highlighting advances that have lent to the topic's distinct, coherent methodology over the past decade, Log-Linear Modeling: Concepts, Interpretation, and Application provides an essential, introductory treatment of the subject, featuring...
Duxbury, 2001. — 720 p. Many statistics texts lack well-defined connections among materials presented, as if the different topics were disjointed. In this new text, George Woodbury successfully illustrates the natural connections between probability and inferential statistics and between confidence intervals and hypothesis testing, for example. Throughout the text, the author...
2014 — 646 pages. The Committee of Presidents of Statistical Societies. CRC Press is an imprint of Taylor & Francis Group, an Informa business. ISBN: 1482204967. Past, Present, and Future of Statistical Science was commissioned in 2013 by the Committee of Presidents of Statistical Societies (COPSS) to celebrate its 50th anniversary and the International Year of Statistics....
Учебное пособие. — Новосибирск: Новосибирский государственный университет экономики и управления "НИНХ", 2021 — 152 с. — ISBN 978-5-7014-1002-0. Рассматриваются актуальные проблемы измерений нечисловой информации. Акцент сделан на подробное изложение алгоритмов построения и анализа системы обобщающих показателей для переменных, измеренных в номинальных и порядковых шкалах....
Пособие по выполнению контрольных домашних заданий по математической статистике (часть 2). — М.: Московский государственный технический университет гражданской авиации (МГТУ ГА), 2009. — 48 с. В пособии приведено 27 вариантов домашних заданий в виде выборок двумерных случайных величин. Дан пример выполнения домашнего задания. Для студентов II курса всех специальностей дневного...
СПб.: Санкт Петербургский государственный технический университет (СПбГТУ), 2002. — 96 с. Пособие соответствует государственному образовательному стандарту и действующим программам дисциплины "Математика" бакалаврской подготовки всех общетехнических и экономических направлений. Это учебное пособие представляет собой последний восьмой выпуск серии опорных конспектов по...
Учебное пособие. — Минск: Белорусский государственный аграрный технический университет (БГАТУ), 2022. — 104 с. — ISBN 978-985-25-0149-1. В пособии рассмотрены основные классы задач статистического анализа данных и современные технологии их решения, проведен обзор способов ввода исходных данных для статистического анализа, предложены методика подготовки данных к анализу и их...
Oxford University Press, 1997. — 208 p. — (Oxford Statistical Science Series, Book 18). — ISBN13: 978-0198523963; ISBN10: 0198523963. The book is about the use of nonparametric smoothing tools in practical data analysis problems. There already exist a number of books in this general area, and these give excellent descriptions of the theoretical ideas, and include good...
Atlantis Press, 2016. — 141 p. — (Atlantis Studies in Probability and Statistics 8). — ISBN: 9462392218, 9789462392212, 9789462392229
The aim of the book is to give a through account of the basic theory of extreme value distributions. The book cover a wide range of materials available to date. The central ideas and results of extreme value distributions are presented. The book...
Birkhauser, 2006. — 514 p.
The purpose of this book is to honor the fundamental contributions to many different areas of statistics made by Barry Arnold. Distinguished and active researchers highlight some of the recent developments in statistical distribution theory, order statistics and their properties, as well as inferential methods associated with them. Applications to...
N.-Y.: SIAM, 2010. — 339 p. — ISBN: 978-0-898718-97-3.
Although Normal Approximation and Asymptotic Expansions was first published in 1976, it has gained new significance and renewed interest among statisticians due to the developments of modern statistical techniques such as the bootstrap, the efficacy of which can be ascertained by asymptotic expansions.
This also is the...
2nd edition. — New York: Springer, 2018. — 125 p. This book introduces multidimensional scaling (MDS) and unfolding as data analysis techniques for applied researchers. MDS is used for the analysis of proximity data on a set of objects, representing the data as distances between points in a geometric space (usually of two dimensions). Unfolding is a related method that maps...
CRC Press, 1999. — 592 p. A wide-ranging, extensive overview of modern mathematical statistics, this work reflects the current state of the field while being succinct and easy to grasp. The mathematical presentation is coherent and rigorous throughout. The author presents classical results and methods that form the basis of modern statistics, and examines the foundations of...
Milton: hapman and Hall/CRC, 2018. — 522 p. Mixture models have been around for over 150 years, and they are found in many branches of statistical modelling, as a versatile and multifaceted tool. They can be applied to a wide range of data: univariate or multivariate, continuous or categorical, cross-sectional, time series, networks, and much more. Mixture analysis is a very...
Hoboken: Wiley, 2015. — 496 p. This book provides the theoretical framework needed to build, analyze and interpret various statistical models. It helps readers choose the correct model, distinguish among various choices that best captures the data, or solve the problem at hand. This is an introductory textbook on probability and statistics. The authors explain theoretical...
CRC Press, 2024. — 338 p. — (Monographs on Statistics and Applied Probability 174). — ISBN 978-1-032-24472-3. Emerging technologies generate data sets of increased size and complexity that require new or updated statistical inferential methods and scalable, reproducible software. These data sets often involve measurements of a continuous underlying process, and benefit from a...
Boca Raton, USA: CRC Press, Taylor & Francis Group, 2018. — 257 p. — (Monographs on Statistics and Applied Probability 157). — ISBN: 1138630152. Probabilistic Foundations of Statistical Network Analysis presents a fresh and insightful perspective on the fundamental tenets and major challenges of modern network analysis. Its lucid exposition provides necessary background for...
N.-Y.: Chapman and Hall/CRC, 2014. - 336p.
Although widely used in science and technology for experimental data generating, modeling, and optimization, the response surface methodology (RSM) has many limitations. Showing how robust response surface methodology (RRSM) can overcome these limitations, Robust Response Surfaces, Regression, and Positive Data Analyses presents RRS...
Heidelberg: Springer, 2014. — 180 p. ISBN: 978-3-642-45182-9 The Problem of Simultaneous Inference Some Theory of p-values Classes of Multiple Test Procedures Simultaneous Test Procedures Stepwise Rejective Multiple Tests Multiple Testing and Binary Classification Multiple Testing and Model Selection Software Solutions for Multiple Hypotheses Testing Genetic Association Studies...
B.: Springer, 1997. - 385p. The recent development of computation and automation has lead to quick advances in the theory and practice of recursive methods for stabilization, identification and control of complex stochastic models (guiding a rocket or a plane, orgainizing multiaccess broadcast channels, self-learning of neural networks .). This book provides a wide-angle view...
Cambridge University Press, 2009. — 224 p. — ISBN: 0521093368, 9780521093361
Sir William Elderton's Frequency Curves and Correlation was first published in 1906 and subsequently three new editions were published. It has long enjoyed popularity as a source of clear descriptions of the practical use of Pearson and also Gram-Charlie systems of frequency curves. Professor Johnson...
Cambridge: Cambridge University Press, 2024. — 370 P. This book provides statistics instructors and students with complete classroom material for a one- or two-semester course on applied regression and causal inference. It is built around 52 stories, 52 class-participation activities, 52 hands-on computer demonstrations, and 52 discussion problems that allow instructors and...
Cambridge University Press, 2009. — 448 p. — ISBN: 0521896193, 9780521896191.
This up-to-date account of algebraic statistics and information geometry explores the emerging connections between the two disciplines, demonstrating how they can be used in design of experiments and how they benefit our understanding of statistical models, in particular, exponential models. This book...
Cambridge University Press, 2016. — 690 p. In nonparametric and high-dimensional statistical models, the classical Gauss-Fisher-Le Cam theory of the optimality of maximum likelihood estimators and Bayesian posterior inference does not apply, and new foundations and ideas have been developed in the past several decades. This book gives a coherent account of the statistical theory...
Walter de Gruyter, 2006. — 752 p. — ISBN: 3110162164, 978-3110162165.
This monograph offers a thorough treatment of methods for solving over- and underdetermined systems of equations. The considered problems can be non-linear or linear, and deterministic models as well as statistical effects are discussed. Considered methods include, e.g., minimum norm and least squares...
Machine Learning Techniques, 2019. — 309 p. This book is intended for busy professionals working with data of any kind: engineers, BI analysts, statisticians, operations research, AI and machine learning professionals, economists, data scientists, biologists, and quants, ranging from beginners to executives. In about 300 pages, it covers many new topics, offering a fresh...
Cambridge University Press, 2010. — 382 p. — ISBN: 978-0-521-19420-4, e-ISBN: 978-0-511-77021-0. It is increasingly common for analysts to seek out the opinions of individuals and organizations using attitudinal scales such as degree of satisfaction or importance attached to an issue. Examples include levels of obesity, seriousness of a health condition, attitudes towards...
New York: Springer, 1992. — 359 p. This monograph addresses two quite different topics, in the belief that each can shed light on the other. Firstly, it lays the foundation for a particular view of the bootstrap. Secondly, it gives an account of Edgeworth expansion. Chapter 1 is about the bootstrap, witih almost no mention of Edgeworth expansion; Chapter 2 is about Edgeworth...
Elsevier, 1985. — 482 p. — (Handbook of Statistics 5). In this volume prominent workers in the field discuss various time series methods in the time domain. The topics included are autoregressive-moving average models, control, estimation, identification, model selection, non-linear time series, non-stationary time series, prediction, robustness, sampling designs, signal...
2nd edition. — Heidelberg: Springer, 2015. — 388 p. — ISBN: 3642360041.
The authors present tools and concepts of multivariate data analysis by means of exercises and their solutions. The first part is devoted to graphical techniques. The second part deals with multivariate random variables and presents the derivation of estimators and tests for various practical situations....
Amsterdam: De Gruyter, 2014. - 276p.
This textbook is devoted to the general asymptotic theory of statistical experiments. Local asymptotics for statistical models in the sense of local asymptotic (mixed) normality or local asymptotic quadraticity make up the core of the book. Numerous examples deal with classical independent and identically distributed models and with...
Independently published, 2021. — 194 p. Introduction to Time Series Data Analysis is the sixth book in Easy Statistics Series. Aim of the Easy Statistics Series is to simplify the complicated topics in Statistics. Many advanced books on time series data analysis are too complicated and exhausting for the students. But this book gives simple and quick explanation about...
CRC Press, 2025. — 485 p. — ISBN 1032758791. This book explores multivariate statistics from both traditional and modern perspectives. The first section covers core topics like multivariate normality, MANOVA, discrimination, PCA, and canonical correlation analysis. The second section includes modern concepts such as gradient boosting, random forests, variable importance, and...
New York: Leanpub, 2018. — 125 p. This book introduces the concepts behind statistical methods used to analyze data with correlated error structures. While correlated data arise in many ways, the focus is on ecological and evolutionary data, and two types of correlations: correlations generated by the hierarchical nature of the sampling (e.g., plots sampled within sites) and...
New York: Amazon, 2020. — 212 p. — ISBN: 9781656013651, 1656013657. This study guide is written for students who are looking for understanding on statistical techniques application in their graduation research and how to analyze their data in SPSS. It is also written for practicing researchers who want to update their statistical knowledge condensed in study guide fashion with...
2nd. ed. - Springer, 2022. - 688 p. - (Springer Texts in Statistics). - ISBN 3030916944. This book offers a comprehensive guide to large sample techniques in statistics . With a focus on developing analytical skills and understanding motivation, Large Sample Techniques for Statistics begins with fundamental techniques, and connects theory and applications in engaging ways. The...
D. Van Nostrand Company, Inc., 1947. — 202 p. This book is an elementary text dealing with the mathematics of statistics. Probability and its relation to statistical theory Some useful integrals and functions General concepts of distribution function of a continuos variable Joint distributions of two variables. Multiple and partial correlation Fundamentals of sampling theory with...
Boca Raton: CRC Press, 2020. — 224 p. — (Chapman & Hall/CRC Texts in Statistical Science).— ISBN: 0367194848. An Introduction to Nonparametric Statistics presents techniques for statistical analysis in the absence of strong assumptions about the distributions generating the data. Rank-based and resampling techniques are heavily represented, but robust techniques are considered...
Singapore: World Scientific Publishing Company, 2013. — 180 p.
The book aims to present a wide range of the newest results on multivariate statistical models, distribution theory and applications of multivariate statistical methods. A paper on Pearson-Kotz-Dirichlet distributions by Professor N.Balakrishnan contains main results of the Samuel Kotz Memorial Lecture. Extensions...
Hoboken: CRC Press, 2013. - 384p. Authors Concepts and Notation Basic Probability Theory Univariate Distribution Theory Multivariate Distribution Theory Estimation Theory Hypothesis Testing Theory Appendix: Useful Math Results
Academic Press, 1979. — 521 p.
Multivariate Analysis deals with observations on more than one variable where there is some inherent interdependence between the variable. With several texts already available in this area, one may very well enquire of tbe authors as to the need for yet another book. Most of the available books fall into two categories, either theoretical or data...
2nd Edition. — Boca Raton, ISA, CRC Press, Taylor & Francis Group, 2017. — 297 p. — (Monographs on Statistics and Applied Probability 35). — ISBN10: 1315892561. The second edition of Empirical Bayes Methods details are provided of the derivation and the performance of empirical Bayes rules for a variety of special models. Attention is given to the problem of assessing the...
Second Edition. — Springer, 2011. — 937 p. — ISBN: 978-0-387-40087-7, e-ISBN: 978-0-387-68276-1.
This book’s first edition has been widely cited by researchers in diverse fields. The following are excerpts from reviews: Inequalities: Theory of Majorization and its Applications merits strong praise. It is innovative, coherent, well written and, most importantly, a pleasure to...
Springer, 2009. — 208 p. — ISBN: 978-3540875567. This book gives an introduction to deconvolution problems in nonparametric statistics, e.g. density estimation based on contaminated data, errors-in-variables regression, and image reconstruction. Some real-life applications are discussed while we mainly focus on methodology (description of the estimation procedures) and theory...
Singapore: Springer, 2020. — 237 p. This textbook presents the basic concepts of linear models, design and analysis of experiments. With the rigorous treatment of topics and provision of detailed proofs, this book aims at bridging the gap between basic and advanced topics of the subject. Initial chapters of the book explain linear estimation in linear models and testing of...
Amsterdam: Springer, 1993. - 260p. Nonlinear statistical modelling is an area of growing importance. This monograph presents mostly new results and methods concerning the nonlinear regression model. Among the aspects which are considered are linear properties of nonlinear models, multivariate nonlinear regression, intrinsic and parameter effect curvature, algorithms for...
NY: Cengage Learning, 2014. — 720 p. "Statistics: Learning from Data", by respected and successful author Roxy Peck, resolves common problems faced by learners of elementary statistics with an innovative approach. Peck tackles the areas learners struggle with most-probability, hypothesis testing, and selecting an appropriate method of analysis-unlike any book on the market....
Springer, 2022. — 508 p. — ISBN 978-3-030-76903-1. This book presents the state-of-the-art methodology and detailed analytical models and methods used to assess the reliability of complex systems and related applications in statistical reliability engineering. It is a textbook based mainly on the author’s recent research and publications as well as experience of over 30 years...
McGraw-Hill/Irwin, 2001. - 376 Pages. A single, thorough source of definitions for thousands of statistical terms, illustrated with graphs, charts, tables, and equations. The Pocket Dictionary includes terms used in various fields related to statistics including mathematics, probability, economics, business, decision analysis, demography, epidemiology, bio-statistics,...
New York: W. H. Freeman, 2001. — 353 p. At a summer tea party in Cambridge, England, a guest states that tea poured into milk tastes different from milk poured into tea. Her notion is shouted down by the scientific minds of the group. But one man, Ronald Fisher, proposes to scientifically test the hypothesis. There is no better person to conduct such an experiment, for Fisher is a...
Boca Raton: CRC Press, 2017. — 395 p. — ISBN: 978-1-138-10601-7. This text bridges the gap between sound theoretcial developments and practical, fruitful methodology by providing solid justification for standard symptotic statistical methods. It contains a unified survey of standard large sample theory and provides access to more complex statistical models that arise in diverse...
Hoboken: Wiley, 1989. — 536 p. Offers a comprehensive update of this classic statistics textbook, with careful adherence to the intent, approach, and style of the original authors. Preface to the Eighth Edition. Preface to the First Edition. Symbols Frequently Used. Frequency Distributions. The Mean and Standard Deviation. The Normal Distribution. Tests of Hypotheses. The...
Boston: Academic Press, 1992. — 335 p. This volume presents an overview of numerical methods for linear regression, including FORTRAN subroutines. Linear regression has useful applications in business, statistics and engineering and this work covers all three important cases where p=1,2 and infinity Preface to the English Edition Notation Linear Lp Regression Robust Regression...
Springer, 1999. - 453 pages. This textbook introduces the mathematical concepts and methods that underlie statistics. The course is unified, in the sense that no prior knowledge of probability theory is assumed; this is developed as needed. The book is committed to a high level of mathematical seriousness; and to an intimate connection with application. Modern methods, such as...
Chapman and Hall/CRC, 1991. — 719 p. — (Monographs on Statistics & Applied Probability). — ISBN: 0412286602, 9780412286605
This text presents a theory of probabilistic reasoning, statistical inference and decision. The book is concerned with the problems of reasoning under conditions of uncertainty, partial information and ignorance. It is argued that, in order to give...
Chapman and Hall/CRC, 1995. — 224 p. Kernel smoothing refers to a general methodology for recovery of underlying structure in data sets. The basic principle is that local averaging or smoothing is performed with respect to a kernel function. This book provides uninitiated readers with a feeling for the principles, applications, and analysis of kernel smoothers. This is...
Chapman and Hall/CRC, 2022. — 238 p. — ISBN 978-1-032-19652-7. Development in methodology on longitudinal data is fast. Currently, there are a lack of intermediate /advanced level textbooks which introduce students and practicing statisticians to the updated methods on correlated data inference. This book will present a discussion of the modern approaches to inference,...
CRC Press, 2014. — 406 p. — (Monographs on statistics and applied probability). — ISBN: 9781439862742 Despite research interest in functional data analysis in the last three decades, few books are available on the subject. Filling this gap, Analysis of Variance for Functional Data presents up-to-date hypothesis testing methods for functional data analysis. The book covers the...
Учебное пособие. — Донецк; Севастополь: Вебер, 2001. — 139 с. Изложены основы научного подхода к исследованиям в инженерном деле: разработка и решение математических моделей, подготовка к проведению экспериментальных исследований и испытаний, планирование эксперимента и обработка экспериментальных данных. Особое внимание уделено выбору конструкции датчиков измерительной...
М.: Высшая школа, 1981. — 371 с., ил. Издание содержит наиболее важные разделы математической статистики. Подробно рассмотрены теория проверки гипотез, теория оценивания, выборочный метод, корреляционный и регрессионный анализ.. Дополнительно рассматриваются основные понятия и методы планирования эксперимента, обработка результатов наблюдений, вопросы статистического...
Учебное пособие. — Екатеринбург: Уральская государственная юридическая академия (УрГЮА), 2001. — 140 с. Изложены теоретические основы математической статистики: анализ вариационных рядов, оценивание числовых характеристик и закона распределения, анализ корреляционной зависимости, линейные и нелинейные модели регрессии, проверка гипотез. Рассматриваются и объясняются в примерах...
Учебное пособие. — Пермь: Пермский государственный национальный исследовательский университет, 2022. — 412 с. В пособии изложен теоретический материал по дисциплине «Математическая статистика», рассматриваются как классические аспекты теории, так и некоторые прикладные вопросы. Содержание курса соответствует стандарту обучения бакалавров естественно-научных направлений, а также...
Учебное пособие. — Казань: Казанский государственный университет (КГУ), 1998. — 91 с. Дисперсионный анализ (ДА) представляет собой набор статистических методов, предназначенных для обработки экспериментальных данных, зависящих от большого количества одновременно действующих факторов. Целью анализа является оценка влияния факторов на результирующий признак и выявление наиболее...
Учебное пособие. — Казань: Казанский государственный университет (КГУ), 2009. — 114 с. В учебном пособии продолжается изложение курса многомерного статистического анализа, читаемого для студентов IV курса факультета ВМК, специализирующихся по кафедре математической статистики. Изалагаются основные методы статистической обработки данных, содержащих большое число измеряемых...
Учебное пособие. — Самара: Самарский национальный исследовательский университет (СНИУ) имени академика С.П. Королева, 2023. — 152 с. В пособии излагаются основные результаты теории выборочного метода, методы получения оценок, задачи статистической проверки гипотез, некоторые положения теории статистических решающих правил и оптимальных выводов. Основные положения иллюстрируются...
Springer, 2020. — 270 p. — ISBN: 978-3-030-47755-4. This book presents the latest research on the statistical analysis of functional, high-dimensional and other complex data, addressing methodological and computational aspects, as well as real-world applications. It covers topics like classification, confidence bands, density estimation, depth, diagnostic tests, dimension...
Cambridge: Cambridge University Press, 2015. — 322 p. Limiting spectral distributions CLT for linear spectral statistics The generalised variance and multiple correlation coefficient The T2-statistic Classification of data Testing the general linear hypothesis Testing independence of sets of variates Testing hypotheses of equality of covariance matrices Estimation of the...
New York: Springer, 2021. — 356 p. The main focus of this book is on presenting advances in fuzzy statistics, and on proposing a methodology for testing hypotheses in the fuzzy environment based on the estimation of fuzzy confidence intervals, a context in which not only the data but also the hypotheses are considered to be fuzzy. The proposed method for estimating these...
New York: Springer-Verlag, 1999. — 288 p. — ISBN: 0-387-98739-8. Linear algebra. Random vectors. Gamma, Dirichlet, and F distributions. nvariance. Multivariate normal. Multivariate sampling. Wishart distributions. Tests on mean and variance. Multivariate regression. Principal components. Canonical correlations. Asymptotic expansions. Robustness. Bootstrap confidence regions and...
Berlin: de Gruyter, 2021. — 128 p. Bootstrapping is a conceptually simple statistical technique to increase the quality of estimates, conduct robustness checks and compute standard errors for virtually any statistic. This book provides an intelligible and compact introduction for students, scientists and practitioners. It not only gives a clear explanation of the underlying...
2nd edition. — New York: Springer, 2017. — 574 p. Since its inception in 1974, the level crossing approach for analyzing a large class of stochastic models has become increasingly popular among researchers. This volume traces the evolution of level crossing theory for obtaining probability distributions of state variables and demonstrates solution methods in a variety of...
2nd ISNPS, Cádiz, June 2014. — New York: Springer, 2016. — 224 p.
This volume collects selected, peer-reviewed contributions from the 2nd Conference of the International Society for Nonparametric Statistics (ISNPS), held in Cádiz (Spain) between June 11–16 2014, and sponsored by the American Statistical Association, the Institute of Mathematical Statistics, the Bernoulli...
Springer, 2020. — 210 p. — (Applied and Numerical Harmonic Analysis). — ISBN: 978-3-030-36290-4. The chapters of this volume are based on talks given at the eleventh international Sampling Theory and Applications conference held in 2015 at American University in Washington, D.C. The papers highlight state-of-the-art advances and trends in sampling theory and related areas of...
Internet publication, 2024. — 510 p. Preface. Introduction to data. Hello data. Study design. Applications: Data. Exploratory data analysis. Exploring categorical data. Exploring numerical data. Applications: Explore. Regression modeling. Linear regression with a single predictor. Linear regression with multiple predictors. Logistic regression. Applications: Model. Foundations...
Columbia University Press, 2021. — 368 p. — ISBN 978-0231199940. There is a logical flaw in the statistical methods used across experimental science. This fault is not a minor academic quibble: it underlies a reproducibility crisis now threatening entire disciplines. In an increasingly statistics-reliant society, this same deeply rooted error shapes decisions in medicine, law,...
Asis Publishing House, 1962. — 590 p. Mathematical Introduction General properties of sets Linear point sets Point sets in n dimensions The Lebesgue measure of a linear point set The Lebesgue integral for functions of one variable Non-negative additive set functions in R1 The Lebesgue-Stieltjes integral for functions of one variable Lebesgue measure and other additive set...
New York: Springer, 2019. — 184 p. This contributed volume features invited papers on current models and statistical methods for spatial and multivariate data. With a focus on recent advances in statistics, topics include spatio-temporal aspects, classification techniques, the multivariate outcomes with zero and doubly-inflated data, discrete choice modelling, copula...
New York: Springer, 1995. — 281 p. Graphical modelling is a form of multivariate analysis that uses graphs to represent models. They enable concise representations of associational and casual relations between variables under study. This textbook provides an introduction to graphical models whose emphasis is on its applications and on the practicalities rather than a formal...
Berlin: Springer, 2018. — 112 p. This book provides a concise and accessible overview of model averaging, with a focus on applications. Model averaging is a common means of allowing for model uncertainty when analysing data, and has been used in a wide range of application areas, such as ecology, econometrics, meteorology and pharmacology. The book presents an overview of the...
N.-Y.: Sage Publications Ltd, 2003. - 193p.
The spread of sophisticated computer packages and the machinery on which to run them has meant that procedures which were previously only available to experienced researchers with access to expensive machines and research students can now be carried out in a few seconds by almost every undergraduate. Understanding and Using Advanced...
2nd edition. — Oxford: Oxford University Press, 2017. — 421 p. Students in the sciences, economics, social sciences, and medicine take an introductory statistics course. And yet statistics can be notoriously difficult for instructors to teach and for students to learn. To help overcome these challenges, Gelman and Nolan have put together this fascinating and thought-provoking...
World Scientific Publishing Co. Pte. Ltd., 2007. — 692 p. — ISBN: 981270034X.
This book provides a solid foundation on nonparametric inference for students taking a graduate course in nonparametric statistics and serves as an easily accessible source for researchers in the area. With the exception of some sections requiring familiarity with measure theory, readers with an...
2nd Edition. — Sage Publications, Inc., 2015. — 486 p. — (Advanced Quantitative Techniques in the Social Sciences 11). — ISBN: 978-1-4522-3500-4. Fully updated to reflect the most recent changes in the field, the Second Edition of Propensity Score Analysisprovides an accessible, systematic review of the origins, history, and statistical foundations of propensity score analysis,...
Springer, 2017. — 355 p. — ISBN: 978-3-319-60299-8. This book presents the theory and practical applications of the Master equation approach, which provides a powerful general framework for model building in a variety of disciplines. The aim of the book is to not only highlight different mathematical solution methods, but also reveal their potential by means of practical...
Springer, 2018. — 332 p. — (Graduate Texts in Mathematics 279). — ISBN: 3319953478. This textbook provides an introduction to the combinatorial and statistical aspects of commutative algebra with an emphasis on binomial ideals. In addition to thorough coverage of the basic concepts and theory, it explores current trends, results, and applications of binomial ideals to other...
Bookboon, 2016. — 146 p. — ISBN: 978-87-403-1407-6. This is a book on the understanding of statistical concepts. If you have no knowledge, you will receive basic knowledge, without having to worry much about mathematics. And if you already know something about statistical methods, you will get a better understanding of the ideas behind them. All basic concepts are discussed in...
CRC Press, 2000. — 436 p.
This book presents in-depth discussions of the Generalized Lambda Distribution (GLD), a flexible, four parameter family of probability distributions, and the extended GLD (EGLD), which provides an even more effective way of using the GLD.
Throughout the physical and social sciences, researchers face the challenge of fitting statistical distributions...
Elsevier, 1988. — 494 p. — (Handbook of Statistics 7). This volume covers an area of statistics dealing with complex problems in the production of goods and services, maintenance and repair, and management and operations. The opening chapter is by W. Edwards Deming, pioneer in statistical quality control, who was involved in the quality control movement in Japan and helped the...
By Michael Lavine, 2010. — 471 p. — ISBN: 1616100486 This book is intended as an upper level undergraduate or introductory graduate textbook in statistical thinking with a likelihood emphasis for students with a good knowledge of calculus and the ability to think abstractly. By “statistical thinking” is meant a focus on ideas that statisticians care about as opposed to...
N.-Y.: Chapman and Hall/CRC, 1993. - 648p.
This classic textbook is suitable for a first course in the theory of statistics for students with a background in calculus, multivariate calculus, and the elements of matrix algebra.
2nd Edition. — Wiley, 2019. — 454 p. — (Wiley Series in Probability and Statistics). — ISBN: 9781119214670. The second edition of Robust Statistical Methods with R provides a systematic treatment of robust procedures with an emphasis on new developments and on the computational aspects. There are many numerical examples and notes on the R environment, and the updated chapter on...
Philadelphia, SIAM, 2004. - 189p.
Книга посвящена методу статистического анализа данных с отличным от нормального распределением, что затрудняет использование распространённых статистических методов, основанному на аппроксимации этого распределения на первом шаге, и использованию такой аппроксимации на втором шаге анализа. Несмотря на некоторую эмпиричность такого подхода, он...
New York: Springer, 2016. - 124p.
Covers specialized topics in spatial-temporal modeling provided by world experts for an introduction to key components
Discusses a rigorous probabilistic and statistical framework for a range of contemporary topics of importance to a diverse number of fields in spatial and temporal domains
Includes efficient computational statistical methods...
Springer, 2017. — 321 p. — (Springer Series in Statistics). — ISBN: 3642310834. This book presents a detailed description of the development of statistical theory. In the mid twentieth century, the development of mathematical statistics underwent an enduring change, due to the advent of more refined mathematical tools. New concepts like sufficiency, superefficiency, adaptivity...
3rd ed. — Boca Raton: CRC Press, 2019. — 727 p. A step-by-step guide for anyone challenged by the many subtleties of sampling particulate materials. The only comprehensive document merging the famous works of P. Gy, I. Visman, and C.O. Ingamells into a single theory in a logical way - the most advanced book on sampling that can be used by all sampling practitioners around the...
Singapore: World Scientific Publishing Company, 2013. — 304 p. An overview of the asymptotic theory of optimal nonparametric tests is presented in this book. It covers a wide range of topics: Neyman Pearson and LeCam's theories of optimal tests, the theories of empirical processes and kernel estimators with extensions of their applications to the asymptotic behavior of tests...
Springer, 2012. — 284 p. — ISBN: 978-3-0348-0239-0, e-ISBN: 978-3-0348-0240-6. This book gives a comprehensive review of results for associated sequences and demimartingales developed so far, with special emphasis on demimartingales and related processes. One of the basic aims of theory of probability and statistics is to build stochastic models which explain the phenomenon...
N.Y.: CRC Press, 2015. — 388 p. Although there are countless books on statistics, few are dedicated to the application of statistical methods to software engineering. Simple Statistical Methods for Software Engineering: Data and Patterns fills that void. Instead of delving into overly complex statistics, the book details simpler solutions that are just as effective and connect...
Wiley, 1959. — 477 p. Originally published in 1959, this classic volume has had a major impact on generations of statisticians. The book examines the basic theory of analysis of variance by considering several different mathematical models. Part I looks at the theory of fixed-effects models with independent observations of equal variance, while Part II begins to explore the...
Hoboken: Wiley, 2000. — 648 p. A comprehensive introduction to a wide variety of univariate and multivariate smoothing techniques for regressionSmoothing and Regression: Approaches, Computation, and Application bridges the many gaps that exist among competing univariate and multivariate smoothing techniques. It introduces, describes, and in some cases compares a large number of...
New York: Chapman and Hall/CRC, 2020. — 570 p. Meta-analysis is the application of statistics to combine results from multiple studies and draw appropriate inferences. Its use and importance have exploded over the last 25 years as the need for a robust evidence base has become clear in many scientific areas, including medicine and health, social sciences, education, psychology,...
Tokyo: Springer, 2022. — 99 p. This is the first book to provide a comprehensive introduction to a new semiparametric causal discovery approach known as LiNGAM, with the fundamental background needed to understand it. It offers a general overview of the basics of the LiNGAM approach for causal discovery, estimation principles, and algorithms. This semiparametric approach is one...
Springer, 2021. — 211 p. — ISBN 978-981-16-1918-2. The book presents contributions on statistical models and methods applied, for both data science and SDGs, in one place. Measuring and controlling data of SDGs, data driven measurement of progress needs to be distributed to stakeholders. In this situation, the techniques used in data science, specially, in the big data...
Wiley-ISTE, 2019. — 240 p. — (Big Data, Artificial Intelligence and Data Analysis Set; Volume 3). — ISBN: 978-1-119-57964-9. This series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications. Volume 2 begins with an introductory chapter by...
Springer, 2020. — 141 p. — (SpringerBriefs in Statistics: JSS Research Series in Statistics). — ISBN: 978-981-15-4997-7. This book provides statistical methodologies for time series data, focusing on copula-based Markov chain models for serially correlated time series. It also includes data examples from economics, engineering, finance, sport and other disciplines to illustrate...
Springer Nature Singapore Pte Ltd, 2016. — 312 p. — ISBN: 9811033005 This book is a valuable read for a diverse group of researchers and practitioners who analyze assessment data and construct test instruments. It focuses on the use of classical test theory (CTT) and item response theory (IRT), which are often required in the fields of psychology (e.g. for measuring...
Учебное посособие. – Харьков: ХНУГХ, 2015. – 26 с. Конспект лекций для студентов 2-го курса дневной и заочной форм обучения, направления подготовки 6.030504. Экономика предприятия, 6.030509 – Учет и аудит. Конспект лекций построен в соответствии с требованиями кредитно - модульной системы организации учебного процесса и согласован с ориентировочной структурой содержания учебной...
Учебное пособие. — Казань: Казанский (Приволжский) федеральный университет (КФУ), 2010. — 174 с. Учебное пособие представляет углубленный курс математической статистики с упором на построение оптимальных процедур статистического вывода. Затрагиваются основные проблемы данной теории: аксиоматика математической статистики, достаточные статистики, информационные неравенства,...
Учебное пособие. — Казань: Казанский федеральный университет (КФУ), 2012. — 182 с. Учебное пособие представляет углубленный курс математической статистики с упором на построение оптимальных процедур статистического вывода. Затрагиваются основные проблемы данной теории: аксиоматика математической статистики, достаточные статистики, информационные неравенства, байесовские и...
Навчальний посібник до практичних занять. — Харків: НТУ "ХПІ", 2010. — 232 с.
Підготовлений для виконання практикуму з курсу "Математична статистика". У посібнику систематизовано матеріали з основних тем дисципліни: теоретичні відомості, необхідні для розв'язування задач, приклади таких розв'язувань.
Призначений для студентів, що навчаються за спеціальністю "Прикладна...
М.: Физматлит, 1978. — 240 с. Книга посвящена некоторым статистическим задачам, связанным с вероятностными распределениями на окружности, которые имеют большое прикладное значение, например, в спектроскопии, геодезии, навигации и т. д. Книга представляет собой обстоятельное монографическое пособие, предназначенное как для практиков, так и для лиц, интересующихся вопросами...
Пер. с румынск. Л.С. Кучаева. — М.: Статистика, 1970. — 224 с. В условиях большого расширения границ применения методов современной математики во всех областях научного исследования, фундаментальных и прикладных, и в разрешении практических проблем данного высшего этапа процесса завершения строительства социализма в нашей стране, первоочередное внимание уделяется математической...
Пер. с фр. — М.: Мир, 1972. — 102 с. — (Библиотека сборника Математика). Прогресс последних лет о области математической статистики связан с развитием общих концепций и анализом основных понятий, из которых вырастает этот раздел математики; в то же время книг, где эти вопросы освещались бы достаточно полно, до сих пор не было. Этот пробел восполняется данной книгой, посвященной...
Учебное пособие. — Киев: Учебно-методический кабинет по высшему образованию (УМК ВО), 1991. — 124 с. Приведены основные сведения об объектах исследования и их моделях из теории подобия, обработки данных и планирования эксперимента. Показано, в каком виде обрабатывать результаты эксперимента для получения обобщающих выводов, справедливых для частного случая группы объектов или...
Sage Publications, 1982. — 88 p. — ISBN: 0803919158, 9780803919150. Interpreting and Using Regression sets out the actual procedures researchers employ, places them in the framework of statistical theory, and shows how good research takes account both of statistical theory and real world demands. Achen builds a working philosophy of regression that goes well beyond the...
N.-Y.: Springer, 2014. — 367 p.
This volume is composed of peer-reviewed papers that have developed from the First Conference of the International Society for Non Parametric Statistics (ISNPS). This inaugural conference took place in Chalkidiki, Greece, June 15-19, 2012. It was organized with the co-sponsorship of the IMS, the ISI and other organizations. M.G. Akritas, S.N....
CRC Press, Taylor & Francis Group, 2022. — 470 p. — (Texts in Statistical Science). — ISBN 9780367488758. Theory of Statistical Inference is designed as a reference on statistical inference for researchers and students at the graduate or advanced undergraduate level. It presents a unified treatment of the foundational ideas of modern statistical inference, and would be suitable...
Authors: Francis R. Bach, Michael I. Jordan.
Pusblished in Journal of Machine Learning Research 4 (2003), pp. 1205-1233.
Year: 2003.
Format: PDF.
Abstract:
We present a generalization of independent component analysis (ICA), where instead of looking for a linear transform that makes the data components independent, we look for a transform that makes the data components well...
Springer, 2018. — 388 p. — (Springer Proceedings in Mathematics & Statistics 250). — ISBN: 978-3-319-96940-4. This volume presents the latest advances and trends in nonparametric statistics, and gathers selected and peer-reviewed contributions from the 3rd Conference of the International Society for Nonparametric Statistics (ISNPS), held in Avignon, France on June 11-16, 2016....
Prentice Hall, 2001. — 679 Pages. This classic, time-honored introduction to the theory and practice of statistics modeling and inference reflects the changing focus of contemporary Statistics. Coverage begins with the more general nonparametric point of view and then looks at parametric models as submodels of the nonparametric ones which can be described smoothly by Euclidean...
New York: Chapman and Hall/CRC, 2018. — 249 p. — (Monographs on Statistics & Applied Probability, 160). — ISBN: 978-1498763011. Kernel smoothing has greatly evolved since its inception to become an essential methodology in the Data Science tool kit for the 21st century. Its widespread adoption is due to its fundamental role for multivariate exploratory data analysis, as well as...
Springer, 2 ed. 2001 - 398 p. - This is the second edition of Linear Models for Multivariate, Time Series and Spatial Data. It has a new title to indicate that it contains much new material. The primary changes are the addition of two new chapters: one on nonparametric regression and one on response surface maximization. As before, the presentations focus on the linear model...
Chapman and Hall/CRC, 2025. — 354 p. — (Chapman & Hall/CRC Biostatistics Series). — ISBN: 978-1-032-94244-5. Power and Sample Size in R guides the reader through power and sample size calculations for a wide variety of study outcomes and designs and illustrates their implementation in R software. It is designed to be used as a learning tool for students as well as a resource...
New Delhi: Springer, 2015. - 221p. This book primarily addresses the optimality aspects of covariate designs. A covariate model is a combination of ANOVA and regression models. Optimal estimation of the parameters of the model using a suitable choice of designs is of great importance; as such choices allow experimenters to extract maximum information for the unknown model...
Oliver and Boyd, 1956. — 175 p. An explicit statement of the logical nature of statistical reasoning that has been implicitly required in the development and use of statistical techniques in the making of uncertain inferences and in the design of experiments. Included is a consideration of the concept of mathematical probability; a comparison of fiducial and confidence...
N.-Y.: Wiley, 1987. - 622p.
A comprehensive text and reference bringing together advances in the theory of probability and statistics and relating them to applications. The three major categories of statistical models that relate dependent variables to explanatory variables are covered: univariate regression models, multivariate regression models, and simultaneous equations...
Hoboken: Wiley, 1990. — 294 p. Presents a system of multivariate analysis techniques in cases where statistical data may be of different measurement levels such as nominal, ordinal or interval. It covers methods of studying the stability of these techniques, including resampling by the bootstrap and jackknife and discusses sensitivity analysis through first-order...
McGraw-Hill, 1961. – 463 p. This is a well-organized and clearly written text on multiple linear regression including its application to design of experiments, analysis of variance, and the estimation of components of variance. The prerequisites for the student are an introduction to mathematical statistics at about the level of Mood and a good course in matrices. A limitation...
N.-Y.: Chapman and Hall/CRC, 2015. - 184p.
Many observational studies in epidemiology and other disciplines face inherent limitations in study design and data quality, such as selection bias, unobserved variables, and poorly measured variables. Accessible to statisticians and researchers from various disciplines, this book presents an overview of Bayesian inference in partially...
N.-Y.: Springer, 2015. — 326 p.
This Festschrift in honour of Paul Deheuvels’ 65th birthday compiles recent research results in the area between mathematical statistics and probability theory with a special emphasis on limit theorems. The book brings together contributions from invited international experts to provide an up-to-date survey of the field.
Written in textbook...
John Wiley & Sons, Inc., 1986. — 526 p. — (Probability and Statistics). — ISBN: 0-471-73577-9. Statistics is the art and science of extracting useful information from empirical data. An effective way for conveying the information is to use parametric stochastic models. After some models had been used for more than two centuries, R. A. Fisher multiplied the number of useful...
Psychology Press, 2001. — 625 p. — 3rd ed. — ISBN: 0805832106, 9780805832105
Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate Statistics to provide a model of balance between how-to and why. This classic text covers multivariate techniques with a taste of latent variable approaches. Throughout...
Boca Raton: CRC Press, 1990. — 351 p. This book describes an array of power tools for data analysis that are based on nonparametric regression and smoothing techniques. These methods relax the linear assumption of many standard models and allow analysts to uncover structure in the data that might otherwise have been missed. While McCullagh and Nelder's Generalized Linear Models...
Singapore: Springer, 2017. — 141 p. This book introduces academic researchers and professionals to the basic concepts and methods for characterizing interdependencies of multiple time series in the frequency domain. Detecting causal directions between a pair of time series and the extent of their effects, as well as testing the non existence of a feedback relation between them,...
2nd edition. — CRC Press, 2022. — 381 p. — ISBN 9781032118130. Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis. Statistical Methods for Handling Incomplete Data covers the most up-to-date statistical theories and computational methods for analyzing...
Wiley-ISTE, 2020. — 218 p. — (Mathematics and Statistics). — ISBN: 1786305984. This book is devoted to the system analysis of statistical experiments , determined by the averaged sums of sampling random variables. The dynamics of statistical experiments are given by difference stochastic equations with a specified regression function of increments – linear or nonlinear. The...
Springer, 2008. — 483 p.
This book provides a self-contained, linear, and unified introduction to empirical processes and semiparametric inference. These powerful research techniques are surprisingly useful for developing methods of statistical inference for complex models and in understanding the properties of such methods. The targeted audience includes statisticians,...
Elsevier, 1984. — 945 p. — (Handbook of Statistics 4). Prominent statisticians discuss here the general methodological aspects of nonparametric methods, and applications, in a logically integrated and systematic form. The topics covered in this volume include biological assays, cancer research, categorical data analysis, clinical trials, empirical distributions, estimation...
UK, USA: ISTE, Ltd John Wiley & Sons, Inc., 2019. — 285 p. — (Science, Society and New Technologies Series. Volume 2 - Education SET). — ISBN: 1786302284. This book presents different data collection and representation techniques: elementary descriptive statistics, confirmatory statistics, multivariate approaches and statistical modeling. It exposes the possibility of giving...
Holden-Day; McGraw-Hill, 1975. — 457 p. — ISBN: 9780387352121, 0387352120. Rank tests form a class of statistical procedures that have the advantage of great simplicity combined with surprising power. Since their development in the 1940s and 1950s, they have taken their place as strong competitors of the more classical normal theory methods. Rank tests apply only to relatively...
Information Age Publishing, 2018. — 166 p. Classification and regression trees (CART) is one of the several contemporary statistical techniques with good promise for research in many academic fields. There are very few books on CART, especially on applied CART. This book, as a good practical primer with a focus on applications, introduces the relatively new statistical...
N.-Y., Springer Science+Business Media, 2006. - 653 p.
Собрание статей Фредерика Мостеллера (редакторы-составители Stephen E. Fienberg и David C. Hoaglin), включающее 40 его статей, отражающих основные научные результаты его жизни за 89 лет и касающиеся тематики построения статистических оценок, выборочных исследований, применения статистических методов в экономике и медицине,...
1st ed. 2000. Corr. 2nd printing, Springer, 2000. — XVIII, 282 p. 45 illus. — (Springer Texts in Statistics).
This book integrates the theory of statistics with the practice of statistics through a series of case studies. Each lab introduces a problem, provides some scientific background, suggests investigations for the data, and provides a summary of the theory used in the...
Hoboken: Wiley, 2013. — 206 p. Methods for estimating sparse and large covariance matrices Covariance and correlation matrices play fundamental roles in every aspect of the analysis of multivariate data collected from a variety of fields including business and economics, health care, engineering, and environmental and physical sciences. High-Dimensional Covariance Estimation...
Springer, 2023. — 318 p. — ISBN 9811905959. This is the first book of two volumes covering the basics of statistical methods and analysis . Significant topics include concepts of research and data analysis, descriptive statistics, probability and distributions, correlation and regression, and statistical inference . The book includes useful examples and exercises as well as...
Elsevier, 2008. — 871 p. — (Handbook of Statistics 27). This volume, representing a compilation of authoritative reviews on a multitude of uses of statistics in epidemiology and medical statistics written by internationally renowned experts, is addressed to statisticians working in biomedical and epidemiological fields who use statistical and quantitative methods in their work....
Second Edition. — New York, Springer, 1999. — 427 с.
Авторы, особенно первый, в рекомендациях не нуждаются. Посвящена практически всем аспектам регрессионного анализа. Может быть полезна как теоретикам, так и практикам, использующим этот аппарат.
N.-Y., Springer, 1998. 671p.
Книга посвящена регрессионному анализу и его применению к решению прикладных задач. Рассмотрены одномерная и многомерная регрессии (включая необходимый матричный аппарат), дисперсионный анализ, проблема отбора подмножества переменных, полиномиальная регрессия, предположения регрессионного анализа, влияние нарушение этих предположений и методы...
ITexLi, 2024. — 269 p. — ISBN 0854660526 9780854660520 0854660534 9780854660537 0854660542 9780854660544. This book includes contributions from researchers, scholars, and professionals about the most recent theory, models, and applications for interdisciplinary and multidisciplinary research encircling disciplines of computer science, mathematics, statistics, geography, and...
John Wiley & Sons, Inc., 2013. — 400 p. — ISBN: 1118437608.
Featuring a comprehensive approach to sample size determination for general statistical use, this book uniquely blends applications from a variety of fields including statistics, biostatistics, the health sciences, and engineering. Topical coverage includes: hypothesis testing concepts and issues; confidence intervals;...
Springer Science+Business Media, 2000. — 742 p. — ISBN: 0817640126, 978-0817640125. The analysis of variance models have become one of the most widely used tools of modern statistics for analyzing multi-factor data. This book provides a detailed and thorough introduction to fixed, random and mixed effects analysis of variance, covering all the important models. The book will be...
Amsterdam: Elsevier, 2016. - 60p. Copyright List of Figures List of Tables Entitled to full text Exact Statistical Inference for a 2 × 2 Table Exact Statistical Inference for a 2 × K Table Sample Size Determination Using Exact Approaches Conclusions
Springer, 2020. — xi, 435 p. — ISBN: 978-4-431-55239-0; ISBN: 978-4-431-55238-3. Presents systematically the author’s contributions to various problems of mathematical statistics; Provides an English translation by the author of some known results originally published in Japanese; Deals in a systematic and comprehensive manner with problems that hitherto were not well...
Springer, 2006. — 384 p. — ISBN: 0387324488, 978-0387324487. This book summarizes current knowledge regarding the theory of estimation for semiparametric models with missing data, in an organized and comprehensive manner. It starts with the study of semiparametric methods when there are no missing data. The description of the theory of estimation for semiparametric models is...
Boca Raton, CRC Press, 2009. — 323 p.
Монография посвящена построению оценок в обобщённой регрессионной модели (включая линейную, нелинейные, логистическую, пуассоновскую и другие) и построению доверительных интервалов для оценок.
Для аспирантов и студентов специальности "математическая статистика".
University of Arizona, 2016. — 434 p. Organizing and Producing Data Displaying Data Describing Distributions with Numbers Correlation and Regression Producing Data Probability The Basics of Probability Conditional Probability and Independence Random Variables and Distribution Functions The Expected Value The Law of Large Numbers The Central Limit Theorem Estimation Overview of...
Chapman & Hall/CRC, 2007. — 351 p. — ISBN10: 1584884800. Simplifying the often confusing array of software programs for fitting linear mixed models (LMMs), Linear Mixed Models: A Practical Guide Using Statistical Software provides a basic introduction to primary concepts, notation, software implementation, model interpretation, and visualization of clustered and longitudinal...
Springer, 2023. — 335 p. Robust statistical methods are now being used in a wide range of disciplines. The appeal of these methods is that they are designed to perform about as well as classic techniques when standard assumptions are true―but they continue to perform well in situations where classic methods perform poorly. This book provides a relatively non-technical guide to...
4th ed. — Claremont: Juta, 2015. — 328 p. — ISBN: 9781485102762, 1485102766. As with its predecessors, this fourth edition of Statistical Methods and Calculation Skills aims to equip students with the skills to apply statistical analysis and quantitative techniques in the research and working environments, and to make effective decisions. Part A: – statistical methods – covers...
Chapman and Hall/CRC, 2013 — 412 p. Despite research interest in functional data analysis in the last three decades, few books are available on the subject. Filling this gap, Analysis of Variance for Functional Data presents up-to-date hypothesis testing methods for functional data analysis. The book covers the reconstruction of functional observations, functional ANOVA,...
Boca Raton: CRC Press, 2019. — 226 p. — ISBN: 0367194252. This textbook gives an overview of statistical methods that have been developed during the last years due to increasing computer use, including random number generators, Monte Carlo methods, Markov Chain Monte Carlo (MCMC) methods, Bootstrap, EM algorithms, SIMEX, variable selection, density estimators, kernel...
New York: Chapman and Hall/CRC, 2015. - 245p.
Semialgebraic Statistics and Latent Tree Models explains how to analyze statistical models with hidden (latent) variables. It takes a systematic, geometric approach to studying the semialgebraic structure of latent tree models.
The first part of the book gives a general introduction to key concepts in algebraic statistics, focusing...
Одеса: ОНАЗ ім. О. С. Попова, 2011. – 166 с.
Навчальний посібник містить теоретичні відомості про основні математично-статистичні методи, що використовуються в прикладних дослідженнях, та шляхи їх реалізації засобами Microsoft Excel та SPSS. Теоретичний матеріал супроводжується великою кількістю професійно спрямованих прикладів і задач для самостійної роботи. Навчальний посібник...
М.: Статистика, 1973. — 212 с. Монография посвящена проблемам оценки статистических гипотез. Помимо общих теоретических соображений о роли статистической гипотезы в научном исследовании и логической ее характеристики, в работе освещаются, с их смысловой стороны, вопросы оценки конкретных статистических гипотез относительно параметров статистического распределения, параметров...
Учебное пособие. — Екатеринбург: Уральский государственный медицинский университет (УГМУ), 2018. — 114 с. — ISBN: 978-5-89895-860-2. Учебное пособие включает основные положения теории вероятностей и статистики и практические работы на основе современных компьютерных технологий применительно к решению задач практической медицины. Практические навыки статистических расчетов...
Учебное пособие. М.: МИРЭА – Российский технологический университет, 2023. – 121 с. Учебное пособие содержит теоретические сведения, практические примеры и варианты практических работ по дисциплине «Системы сбора и предобработки данных», разделу «Методы статического анализа». Предназначено для магистрантов, обучающихся по направлению 09.04.02 Информационные системы и...
Учебное пособие. — 2-е изд., доп. — СПб.: Санкт-Петербургский политехнический университет Петра Великого (СПбПУ), 2023. — 100 с. В пособии изложены основные понятия и методы статистической обработки и анализа экспериментальных данных: точечное и интервальное оценивание параметров распределений, проверка статистических гипотез о параметрах распределений (критерии значимости), а...
Учебное пособие. — Новосибирск: Новосибирский государственный технический университет, 2020. — 82 с. — ISBN 978-5-7782-4166-4. Учебное пособие представляет собой дополнительные материалы по курсу «Статистические методы анализа данных». В пособии приведены вероятностные постановки, описаны модели бинарного отклика и модели с ошибками в переменных, рассмотрены методы и алгоритмы...
Москва: Гостстатиздат ЦСУ СССР, 1961. — 192 с. Предисловие. Интерполяция и экстраполяция. Выравнивание по способу наименьших квадратов и методу скользящей средней. Математическая теория закона средней и значение этой теории для статистики. Различные формы средних величин и количественные соотношения между ними. Статистическая теория динамического ряда. Теория и практика...
IntechOpen, 2023. — 204 p. — eBook ISBN: 978-1-80356-307-7. Time series data consist of a collection of observations obtained through repeated measurements over time. When the points are plotted on a graph, one of the axes is always time. Time series analysis is a specific way of analyzing a sequence of data points. Time series data are everywhere since time is a constituent of...
New York: IBM T. J. Watson Research Center Yorktown Heights, 2016. — 30 p. This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view. It integrates methods from data mining, machine learning, and statistics within the computational framework and therefore appeals to multiple communities. The chapters of this book can be...
Mir Masoom Ali, Rahmatullah Imon, Irfan Ali, Haitham M. Yousof (Editor). — CRC Press, 2025. — 506 p. — ISBN: 978-1-032-46059-8. The book is a collection of different aspects of outliers and related topics written by experts. Topics covered include definition of outliers, their sources, consequences, identification, computational and robustness issues, handling of outliers in...
New York: Springer, 2016. — 306 p.
This book highlights the latest research findings from the 46th International Meeting of the Italian Statistical Society (SIS) in Rome, during which both methodological and applied statistical research was discussed. This selection of fully peer-reviewed papers, originally presented at the meeting, addresses a broad range of topics, including...
Philadelphia: SIAM, 1987. - 51p.
A discussion of some topics in the theory of large deviations such as moment-generating functions and Chernoff's theorem, and of aspects of estimation and testing in large samples, such as exact slopes of test statistics.
New York: Academic Press, 1991. — 384 p. The literature on order statistics and inferenc eis quite extensive and covers a large number of fields ,but most of it is dispersed throughout numerous publications. This volume is the consolidtion of the most important results and places an emphasis on estimation. Both theoretical and computational procedures are presented to meet the...
Springer, 2011. — 290 p. — ISBN: 3642162177
This proposed text appears to be a good introduction to evolutionary computation for use in applied statistics research. The authors draw from a vast base of knowledge about the current literature in both the design of evolutionary algorithms and statistical techniques. Modern statistical research is on the threshold of solving...
Routledge, 2023. — 485 p. — ISBN 978-1-032-25962-8. Байесовские многоуровневые модели для данных повторных измерений: концептуальное и практическое введение в R This book presents an introduction to the statistical analysis of repeated measures data using Bayesian multilevel regression models. Our approach is to fit these models using the brms package and the Stan programming...
Springer, 2005. — 438 p. — ISBN: 1402022778, 9781402022777
Unique in that it collects, presents, and synthesizes cutting edge research on different aspects of statistical reasoning and applies this research to the teaching of statistics to students at all educational levels, this volume will prove of great value to mathematics and statistics education researchers, statistics...
Cambridge: Cambridge University Press, 2012. — 252 p.
This book introduces in a systematic manner a general nonparametric theory of statistics on manifolds, with emphasis on manifolds of shapes. The theory has important and varied applications in medical diagnostics, image analysis, and machine vision. An early chapter of examples establishes the effectiveness of the new...
NY: Wiley, 2013. — 292 p. Explores regular structures in graphs and contingency tables by spectral theory and statistical methods This book bridges the gap between graph theory and statistics by giving answers to the demanding questions which arise when statisticians are confronted with large weighted graphs or rectangular arrays. Classical and modern statistical methods...
Singapore: Springer, 2018. — 181 p. This is an introductory text on a broad class of statistical estimators that are minimizers of convex functions. It covers the basics of U-statistics and Mm-estimators and develops their asymptotic properties. It also provides an elementary introduction to resampling, particularly in the context of these estimators. The last chapter is on...
Cambridge: CUP, 2007. - 248p.
In fields such as biology, medical sciences, sociology, and economics researchers often face the situation where the number of available observations, or the amount of available information, is sufficiently small that approximations based on the normal distribution may be unreliable. Theoretical work over the last quarter-century has led to new...
Elsevier, 1983. — 476 p. — (Handbook of Statistics 3). This volume of the Handbook is concerned particularly with the frequency side, or spectrum, approach to time series analysis. This approach involves essential use of sinusoids and bands of (angular) frequency, with Fourier transforms playing an important role. A principal activity is thinking of systems, their inputs,...
N.-Y.: Springer, 2015. - 285p.
The book, belonging to the series Studies in Theoretical and Applied Statistics– Selected Papers from the Statistical Societies, presents a peer-reviewed selection of contributions on relevant topics organized by the editors on the occasion of the SIS 2013 Statistical Conference "Advances in Latent Variables. Methods, Models and Applications",...
Birkhäuser, 2002. — 378 p. — ISBN: 978-1461266112, e-ISBN: 978-1461200994. Empirical process techniques for independent data have been used for many years in statistics and probability theory. These techniques have proved very useful for studying asymptotic properties of parametric as well as non-parametric statistical procedures. Recently, the need to model the dependence...
New York: Springer, 2003. — 465 p. Researchers in many disciplines face the formidable task of analyzing massive amounts of high-dimensional and highly-structured data. This is due in part to recent advances in data collection and computing technologies. As a result, fundamental statistical research is being undertaken in a variety of different fields. Driven by the complexity...
2016. — 378 p. Visualizing Process Data . Data visualization in context. References and readings. Time-series plots. Bar plots. Box plots. Relational graphs: scatter plots. Tables as a form of data visualization. Topics of aesthetics and style. General summary: revealing complex data graphically. Exercises. Univariate Data Analysis . Univariate data analysis in context....
Chapman and Hall/CRC, 2024. — 348 р. — ISBN: 978-1-032-68718-6. Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences: With jamovi is an introductory textbook for learning statistics. It starts with the very basics and prioritises helping the reader to develop a conceptual understanding of statistics, and apply the most fundamental...
N.-Y.: Chapman & Hall/CRC, 2015. 250p.
A Sound Basis for the Theory of Statistical Inference. Measuring Statistical Evidence Using Relative Belief provides an overview of recent work on developing a theory of statistical inference based on measuring statistical evidence. It shows that being explicit about how to measure statistical evidence allows you to answer the basic...
Cham: Springer, 2022. — 206 p. This monograph presents a comprehensive treatment of the maximum-entropy sampling problem (MESP), which is a fascinating topic at the intersection of mathematical optimization and data science. The text situates MESP in information theory, as the algorithmic problem of calculating a sub-vector of pre-specificed size from a multivariate Gaussian...
New York: Springer, 2016. — 209 p. This thesis proposes a novel Model Predictive Control (MPC) strategy, which modifies the usual MPC cost function in order to achieve a desirable sparse actuation. It features an ℓ1-regularised least squares loss function, in which the control error variance competes with the sum of input channels magnitude (or slew rate) over the whole horizon...
Springer, 2004. — 1078 pages. The Handbook of Computational Statistics - Concepts and Methods ist divided into 4 parts. It begins with an overview of the field of Computational Statistics, how it emerged as a seperate discipline, how it developed along the development of hard- and software, including a discussionof current active research. The second part presents several...
New York: Springer, 1997. — 403 p. Correlated data arise in numerous contexts across a wide spectrum of subject-matter disciplines. Modeling such data present special challenges and opportunities that have received increasing scrutiny by the statistical community in recent years. In October 1996 a group of 210 statisticians and other scientists assembled on the small island of...
5th ed. — Springer, 2019. — 550 p. This textbook presents the tools and concepts used in multivariate data analysis in a style accessible for non-mathematicians and practitioners. All chapters include practical exercises that highlight applications in different multivariate data analysis fields, and all the examples involve high to ultra-high dimensions and represent a number...
Berlin: Springer, 2004. — 316 p. — (Springer Series in Statistics). — ISBN: 978-3-642-17146-8. The concept of nonparametric smoothing is a central idea in statistics that aims to simultaneously estimate and modes the underlying structure. The book considers high dimensional objects, as density functions and regression. The semiparametric modeling technique compromises the two...
Moscow: Mir Publishers, 1991. — 279 p. This problem book covers all the traditional topics in modern statistical theory and is designed for students-at technical colleges and universities who have mathematical statistics as an obligatory course. The problems are mostly analytical. The student is asked to prove the validity of an assertion or carry.out an investigation. This...
Lanham: Rowman & Littlefield, 2017. — 219 p. Statistics for the Terrified offers a clear and concise introduction to statistics. Perfect as a brief core or supplementary text for undergraduate courses in statistics and research methods, this Sixth Edition is also an ideal refresher for graduate students who have already taken a statistics course. Designed for students who may...
Cham: Springer, 2021. — 363 p. This textbook is designed for beginning graduate and advanced undergraduate students in statistics, biostatistics, and bioinformatics, but it may also be useful to a broader audience. Particular emphasis is put on Step-by-step introductions to the mathematical tools and principles Exercises that complement the main text, many of them with detailed...
4th. ed. - Pearson Education, 2022. - 389 p. - (Pearson Business Analytics Series). - ISBN 0137654766. The guide for anyone afraid to learn statistics & analytics updated with new examples & exercises. This book discusses statistics and analytics using plain language and avoiding mathematical jargon. If you thought you couldn't learn these data analysis subjects because they...
ArXiv, 2023. — 270 p. In 1954, Alston S. Householder published Principles of Numerical Analysis , one of the first modern treatments on matrix decomposition that favored a (block) LU decomposition -the factorization of a matrix into the product of lower and upper triangular matrices. And now, matrix decomposition has become a core technology in machine learning , largely due to...
Springer, 2018. — 451 p. — (Springer Transactions in Civil and Environmental Engineering). — ISBN: 978-981-10-8778-3. This book focuses on the application of statistical methods in the field of hydrology and hydroclimatology. Among the latest theories being used in these fields, the book introduces the theory of copulas and its applications in this context. The purpose is to...
Springer International Publishing AG, 2018. — 289 p. — (Statistics and Computing). — ISBN: 3319726331. This book systematically addresses the design and analysis of efficient techniques for independent random sampling. Both general-purpose approaches, which can be used to generate samples from arbitrary probability distributions, and tailored techniques, designed to efficiently...
Springer, 2014. — 235 p. — ISBN: 3319053191, 9783319053196
This book contains a selection of the papers presented at the ITACOSM 2013 Conference, held in Milan in June 2013. It is intended as an international forum of scientific discussion on the developments of theory and application of survey sampling methodologies and applications in human and natural sciences. The book...
N.-Y.: Wiley, 2011. — 321 p. — ISBN: 978-1-119-99389-6. This book uses the EM (expectation maximization) algorithm to simultaneously estimate the missing data and unknown parameter(s) associated with a data set. The parameters describe the component distributions of the mixture; the distributions may be continuous or discrete. The editors provide a complete account of the...
Cambridge: Cambridge University Press, 2022. — 265 p. Heavy tails –extreme events or values more common than expected –emerge everywhere: the economy, natural events, and social and information networks are just a few examples. Yet after decades of progress, they are still treated as mysterious, surprising, and even controversial, primarily because the necessary mathematical...
Academic Press, 2018. — 497 p. — ISBN: 978-0-12-801913-9. This book provides an overview of the probabilistic and statistical aspects connected with discrete reliability systems. This engaging book discusses their distributional properties and dependence structures before exploring various orderings associated between different reliability structures. Though clear explanations,...
Springer, 2020. — 124 p. — (University of Tehran Science and Humanities Series). — ISBN: 978-3-030-54753-0. This book concentrates on linear regression, path analysis and logistic regressions, the most used statistical techniques for the test of causal relationships. Its emphasis is on the conceptions and applications of the techniques by using simple examples without...
London: Academic Press, 2022. — 490 p. Foundations in classical geometry and analysis Geometry, information, and complex bundles Complex planes Important implications of Liouville's theorem Geometric analysis and Jordan curves Geometric methods for sampling, optimization, inference, and adaptive agents Accelerated optimization Principle of geometric integration Conservative...
Oxford: Oxford University Press, 2013. — 543 p. Based on a course in the theory of statistics this text concentrates on what can be achieved using the likelihood/Fisherian method of taking account of uncertainty when studying a statistical problem. It takes the concept ot the likelihood as providing the best methods for unifying the demands of statistical modelling and the...
Elsevier, 2009. — 693 p. — (Handbook of Statistics 29A). This new handbook contains the most comprehensive account of sample surveys theory and practice to date. It is a second volume on sample surveys, with the goal of updating and extending the sampling volume published as volume 6 of the Handbook of Statistics in 1988. The present handbook is divided into two volumes (29A...
New York: Chapman & Hall, 2017. — 119 p. In this book the author presents with elegance and precision some of the basic mathematical theory required for statistical inference at a level which will make it readable by most students of statistics This little book has its origins in a feeling of dis-satisfaction with the literature on theoretical statistics. Pitman felt, it seems,...
Princeton University Press, 2023. — 280 p. — ISBN 0691218447. An essential introduction to statistics for students of psychology and the social sciences Statistical thinking is increasingly essential to understanding our complex world and making informed decisions based on uncertain data. This incisive undergraduate textbook introduces students to the main ideas of statistics...
Springer, 2020. — 166 p. — ISBN: 978-3-030-31491-0. This book explores official statistics and their social function in modern societies. Digitisation and globalisation are creating completely new opportunities and risks, a context in which facts (can) play an enormously important part if they are produced with a quality that makes them credible and purpose-specific. In order...
Singapore: World Scientific, 2001. — 336 p.
Книга посвящена статистическому анализу угловых и других заданных на окружности данных. Рассмотрены разнообразные круговые вероятностные распределения, распределения выборочных характеристик, оценка параметров, статистические тесты для проверки гипотез о центре распределения, разбросе и принадлежности к равномерному на круге...
Boca Raton: CRC Press, 2022. — 362 p. Mechanizing hypothesis formation is an approach to exploratory data analysis. Its development started in the 1960s inspired by the question “can computers formulate and verify scientific hypotheses?”. The development resulted in a general theory of logic of discovery. It comprises theoretical calculi dealing with theoretical statements as...
Springer, 1989. — 362 p. This book is designed as a unified and mathematically rigorous treatment of some recent developments of the asymptotic distribution theory of order statistics (including the extreme order statistics) that are relevant for statistical theory and its applications. Particular emphasis is placed on results concern ing the accuracy oflimit theorems, on higher...
New York: Routledge, 2020. — 285 p. — ISBN 0367222221, 9780367222222. Researchers often have difficulties collecting enough data to test their hypotheses, either because target groups are small or hard to access, or because data collection entails prohibitive costs. Such obstacles may result in data sets that are too small for the complexity of the statistical model needed to...
3rd ed. — Chance/Rossman, 2018. — 427 p. In these materials, our goal is to introduce you to this practice of statistics, to help you think about the applications of statistics and to study the mathematical underpinnings of the statistical methods. Most of all, we hope you will find fun and engaging examples. Statistics is a vitally important subject, and also fun to study and...
De Gruyter, 1987. — 506 p. — (De Gruyter Studies in Mathematics). — ISBN: 3110102587, 9783110102581
The prcsent book is neither intended to bе а text-book for а course in statistics, nor а monograph on statistical decision theory. lt is rather the attempt to connect well-known facts of classical statistics with problems and methods of contemporary rescarch. То justify such а...
New York: Nova Science Publishers, Inc., 2019. — 490 p. We utilize statistics when we evaluate TV program ratings, predict voting outcomes, prepare stock, predict the amount of sales, and evaluate the effectiveness of medical treatment. We want to predict the results not on the basis of personal experience or images, but on the basis of corresponding data. The accuracy of the...
Berlin: Springer, 1971. - 210p. This short monograph which presents a unified treatment of the theory of estimating an economic relationship from a time series of cross-sections, is based on my Ph. D. dissertation submitted to the University of Wisconsin, Madison. To the material developed for that purpose, I have added the substance of two subsequent papers: "Efficient methods...
New York: Springer, 2021. — 424 p. This book presents a general method for deriving higher-order statistics of multivariate distributions with simple algorithms that allow for actual calculations. Multivariate nonlinear statistical models require the study of higher-order moments and cumulants. The main tool used for the definitions is the tensor derivative, leading to several...
New York: Chapman and Hall/CRC, 2016. — 231 p. This short book introduces the main ideas of statistical inference in a way that is both user friendly and mathematically sound. Particular emphasis is placed on the common foundation of many models used in practice. In addition, the book focuses on the formulation of appropriate statistical models to study problems in business,...
Hoboken: Wiley, 2020. — 896 p. Intermediate Statistical Investigations provides a unified framework for explaining variation across study designs and variable types, helping students increase their statistical literacy and appreciate the indispensable role of statistics in scientific research. Requiring only a single introductory statistics course as a prerequisite, the program...
Cambridge University Press. 1990. - 279 pages. Part I outlines the general problem and defines concepts of Cfa. It presents statistical tests and gives an overview of Cfa models. Part Ii introduces the reader to models and applications of Cfa, describing the models in more detail. Each model has at least one data example. Part Iii is concerned with the analysis of longitudinal...
Singapore: Springer, 2021. — 287 p. This book enriches unsupervised outlier detection research by proposing several new distance-based and density-based outlier scores in a k-nearest neighbors’ setting. The respective chapters highlight the latest developments in k-nearest neighbor-based outlier detection research and cover such topics as our present understanding of...
Policy Press, 2023. — 218 p. — ISBN 978-1447363262. Are you struggling with introductory statistics? Are you trying to get ahead in your course, but feel like you're going around in circles? This short and down-to-earth textbook will give you the knowledge and confidence you need to get acquainted with the fundamentals of statistical concepts and techniques. Assuming no prior...
Oxford: Oxford University Press, 2019. — 108 p. This book is the first to make chi-squared model testing, one of the data analysis methods used to discover the Higgs boson and gravitational waves, accessible to undergraduate students in introductory physics laboratory courses. By including uncertainties in the curve fitting, chi-squared data analysis improves on the centuries...
Санкт-Петербург. ПГУПС. 2012. — 56 с.
Рассмотрены основные вопросы раздела «Математическая статистика». Подробно разобраны решения типовых примеров по данному разделу. Предназначено для студентов всех специальностей Университета
Учебное пособие. — СПб.: Государственный университет Высшая школа экономики (ГУВШЭ), Санкт-Петербургский филиал, 2006. — 100 с. В пособии изложены отдельные ставшие классическими методы первичной обработки результатов наблюдений, применимые к решению задач естествознания и экономики. Пособие может быть использовано при изучении курсов «Математическая статистика» и...
Учебное пособие. — Казань: Казанский федеральный университет (КФУ), 2023. — 140 с. Данное учебное пособие составлено в соответствии с современной структурой изучения аналитических, картографических и географических дисциплин, является базовым для курса «Статистический анализ пространственных данных». Учебное пособие представляет собой первую, теоретическую часть учебного курса,...
Учебное пособие. — Зерноград: Азово-Черноморский инженерный институт — филиал Донской ГАУ, 2018. — 100 с. Учебное пособие составлено в соответствии с ФГОС ВО по направлению подготовки «Электроэнергетика и электротехника». Учебное пособие содержит теоретические сведения и методические указания к выполнению лабораторно-практических работ по темам: парная регрессия и корреляция,...
Учебное пособие. — Владимир: Владимирский государственный университет им. А. Г. и Н. Г. Столетовых (ВлГУ), 2011. — 139 с. В систематизированном виде представлены основные этапы комплексного анализа данных на основе многомерных методов математической статистики. Изложены теоретические аспекты статистического анализа и прогнозирования временных рядов, наиболее часто используемых...
МГТУ им. Баумана 1995 г. Учебное пособие В пособии рассмотрены некоторые разделы математической статистики: основы теории оценивания неизвестных параметров; проверка статистических гипотез, сглаживание экспериментальных зависимостей. В конце каждого раздела даны контрольные вопросы, типовые примеры и задачи для самостоятельного решения. Для студентов, изучающих курс "Теория...
New York: Springer. 2016. — 204 p.
This book offers a collection of recent contributions and emerging ideas in the areas of robust statistics presented at the International Conference on Robust Statistics 2015 (ICORS 2015) held in Kolkata during 12–16 January, 2015. The book explores the applicability of robust methods in other non-traditional areas which includes the use of...
Andrews D., Bickel P., Hampel F., Rogers W., Tukey J., Huber P. — Princeton: Princeton University Press, 2015. — 384 p. Because estimation involves inferring information about an unknown quantity on the basis of available data, the selection of an estimator is influenced by its ability to perform well under the conditions that are assumed to underlie the data. Since these...
Oxford: Oxford University Press, 2000. — 86 p. Over recent years, developments in statistical computing have freed statisticians from the burden of calculation and have made possible new methods of analysis that previously would have been too difficult or time-consuming. Up till now these developments have been primarily in numerical computation and graphical display, but equal...
Springer, 2018. — 90 p. This book deals with problems related to the evaluation of customer satisfaction in very different contexts and ways. Often satisfaction about a product or service is investigated through suitable surveys which try to capture the satisfaction about several partial aspects which characterize the perceived quality of that product or service. This book...
New York: Springer, 1989. — 182 p. Bounds on moments of order statistics have been of interest since Sir Francis Galton (1902) flrst addressed the problem of fairly dividing flrst and second prize money in a competition. The present compendium of results represents our effort to sort the plethora of results into some semblance of order. The Distribution of Order Statistics...
New York: MDPI, 2017. — 474 p. The “calculation of probabilities” began four years after the death of Rene Descartes, in 1654, in a correspondence between Blaise Pascal and Pierre Fermat. They exchanged letters on elementary problems of gambling, in this case a problem of dice and a problem of “parties”. Pascal and Fermat were particularly interested by this problem and...
Wiley, 2014. — 236 p. — (Wiley series in probability and mathematical statistics - tracts). — ISBN: 111885750X. First published by Wiley in 1978, this book is being re-issued with a new Preface by the author. The roots of the book lie in the writings of RA Fisher both as concerns results and the general stance to statistical science, and this stance was the determining factor...
New York: Springer, 2016. - 334p.
This book presents the breadth and diversity of empirical and practical work done on statistics education around the world. A wide range of methods are used to respond to the research questions that form it's base. Case studies of single students or teachers aimed at understanding reasoning processes, large-scale experimental studies attempting...
N.-Y.: Wiley-Interscience, 2007. — 327 p.
This book offers a predominantly theoretical coverage of statistical prediction, with some potential applications discussed, when data and/ or parameters belong to a large or infinite dimensional space. It develops the theory of statistical prediction, non-parametric estimation by adaptive projection – with applications to tests of fit...
Berlin: Springer, 1971. - 191p. In the course of one's research, the expediency of meeting contractual and other externally imposed deadlines too often seems to take priority over what may be more significant research findings in the longer run. Such is the case with this volume which, despite our best intentions, has been put aside time and again since 1971 in favor of what...
Boca Raton: CRC Press, Chapman & Hall, 2014. - 302p. Multivariate Bonferroni-Type Inequalities: Theory and Applications presents a systematic account of research discoveries on multivariate Bonferroni-type inequalities published in the past decade. The emergence of new bounding approaches pushes the conventional definitions of optimal inequalities and demands new insights into...
Jem N. Corcoran, 2017. — 259 p. Course notes for Mathematical Statistics (APPM/STAT/MATH 4520/5520), Fall 2017, University of Colorado, Boulder taught by Professor Jem N. Corcoran. Cover Preface Probability Preliminaries Between Zero and One Counting Sample Spaces, Events, and Some Simple Probabilities Some Very Brief Words About Independence and "Disjointness" A Brief Review...
Springer, 2015. — 661 p. This book discusses equi-quantile values and their use in generating decision alternatives under the twofold complexities of uncertainty and dependence, offering scope for surrogating between two alternative portfolios when they are correlated. The book begins with a discussion on components of rationality and learning models as indispensable concepts in...
Cambridge University Press, 2023. — 301 p. — ISBN 978-1-108-83781-1. Алгоритмическая многомерная робастная статистика Robust statistics is the study of designing estimators that perform well even when the dataset significantly deviates from the idealized modeling assumptions, such as in the presence of model misspecification or adversarial outliers in the dataset. The classical...
Basel: Birkhauser, 2008. — 177 p. How does an algebraic geometer studying secant varieties further the understanding of hypothesis tests in statistics? Why would a statistician working on factor analysis raise open problems about determinantal varieties? Connections of this type are at the heart of the new field of "algebraic statistics". In this field, mathematicians and...
New York: John Wiley&sons, 1988. — 872 p. This modern treatment of mathematical statistics is concise, yet detailed enough to give readers a solid foundation in all aspects of the field. Treatment of each topic is thorough enough to make the coverage self-contained for a course in probability, and exceptional care has been taken to balance theory with applications. In addition...
Springer, 1983. — 124 p. About forty years ago, Richard von Mises proposed a theory for the analysis of the asymptotic behavior of nonlinear statistical functionals based on the differentiability properties of these functionals. His theory was largely neglected until the late 1960's when it experienced a renaissance due to developments in the field of robust statistics. In...
Springer, 2020. — 133 p. — (SpringerBriefs in Statistics). — ISBN: 978-981-13-2615-8. This book presents recent non-asymptotic results for approximations in multivariate statistical analysis. The book is unique in its focus on results with the correct error structure for all the parameters involved. Firstly, it discusses the computable error bounds on correlation coefficients,...
Glenn Drive: Statistical Associates Publishing, 2012. — 52 p. Discriminant function analysis, also known as discriminant analysis or simply DA, is used to classify cases into the values of a categorical dependent, usually a dichotomy. If discriminant function analysis is effective for a set of data, the classification table of correct and incorrect estimates will yield a high...
Boca Raton: CRC Press, 1999. — 675 p. Describes recent developments and surveys important topics in the areas of multivariate analysis, design of experiments, and survey sampling. Features the work of nearly 50 international leaders Sampling designs and prediction methods for Gaussian spatial processes; design techniques for probabilistic sampling of items with variable...
4th ed. — John Wiley & Sons, 2011. — 358 p. In the mid-1980s, a number of researchers began to see how to introduce systematic. approaches to the statistical modelling and analysis of hierarchically structured data. The early work of Aitkin et al. (1981) on the teaching styles’ data and Aitkin’s subsequent work with Longford (1987) initiated a series of developments that by the...
Boca Raton: Chapman & Hall/CRC, 1999. — 248 p. The Second Edition of Classification incorporates many of the new and powerful methodologies developed since its first edition. Like its pre decessor, this edition describes both clustering and graphical methods of representing data, and offers advice on how to decide which method s of analysis best apply to a particular data set. It...
Springer, 2023. — 100 p. This book presents the latest results related to one- and two-way models for time series data. Analysis of variance (ANOVA) is a classical statistical method for IID data proposed by R.A. Fisher to investigate factors and interactions of phenomena. In contrast, the methods developed in this book apply to time series data. Testing theory of the...
Springer, 2002. — 656 p. Монография посвящена разработке и применению методов непараметрической регрессии. Рассмотрены оценки типа ядерных, через ортогональные ряды, метод К средних, а также методы, основанные на модификациях метода наименьших квадратов. Обсуждается проверка качества модели кросс-валидацией и другие подходы, рекурсивные оценки, оценивание цензурированных данных...
Springer Nature Singapore Pte Ltd., 2017. — 288 p. — (Statistics for Biology and Health) — ISBN: 9811065551. This book provides a groundbreaking introduction to the likelihood inference for correlated survival data via the hierarchical (or h-) likelihood in order to obtain the (marginal) likelihood and to address the computational difficulties in inferences and extensions. The...
CRC Press, 2023. - 320 p. - (Chapman & Hall/CRC Texts in Statistical Science). - ISBN 9780429160080. This book provides an accessible but rigorous introduction to asymptotic theory in parametric statistical models . Asymptotic results for estimation and testing are derived using the “moving alternative” formulation due to R. A. Fisher and L. Le Cam . Later chapters include...
SIAM, 2012. — 418 p. — ISBN: 978-1-611972-18-4. Originally published in 1988, this classic text treats the identification of noisy (multi-input and multi-output) linear systems, particularly systems in ARMAX and state space form. The book covers structure theory, including identifiability, realisation and parameterisation of linear systems; analysis of topological and...
3rd edition. — Routledge, 2023. — 389 p. — (Multivariate Applications Series). — ISBN 978-0-367-21970-3. Focusing on the underlying themes that run through most multivariate methods, in this fully updated 3rd edition of The Essence of Multivariate Thinking Dr. Harlow shares the similarities and differences among multiple multivariate methods to help ease the understanding of...
N.-Y.: Wley, 1983. - 487p.
Offering a balanced, up-to-date view of multiple comparison procedures, this book refutes the belief held by some statisticians that such procedures have no place in data analysis. With equal emphasis on theory and applications, it establishes the advantages of multiple comparison techniques in reducing error rates and in ensuring the validity of...
John Wiley & Sons, 1966. — 440 pages.
A balanced presentation of both theoretical and applied material with numerous problem sets to illustrate important concepts. Demonstrates the use of computers and calculators to facilitate problem solving, as well as numerous applications to illustrate basic theory.
Houston: OpenStax, 2020. — 932 p. Statistics offers instruction in grade-level appropriate concepts and skills in a logical, engaging progression that be gins with sampling and data and covers topics such as probability, random variables, the normal distribution, and hypothesis testing. This content was developed with students in mind, incorporating statistics labs, worked...
Amsterdam: Springer, 1997. - 330p. Consistency Approximation by a Normal Distribution Asymptotic Expansions Related to the Least Squares Estimator Geometric Properties of Asymptotic Expansions
ITexLi, 2021. — 246 p. — ISBN 183968917X 9781839689178 1839689196 9781839689192. This book presents modern applications of Response Surface Methodology (RSM) in engineering science. Chapters discuss such topics as machine learning models of RSM as well as potential applications of RSM in industries such as pharmaceuticals, agriculture, textiles, and food, among others. Response...
Hoboken: CRC Press, 2013. — 221 p. List of Tables Likelihood-based approach Computation Imputation Propensity scoring approach Nonignorable missing data Longitudinal and clustered data Application to survey sampling Statistical matching
Cham: Springer, 2020. — 300 p. This book explores missing data techniques and provides a detailed and easy-to-read introduction to multiple imputation, covering the theoretical aspects of the topic and offering hands-on help with the implementation. It discusses the pros and cons of various techniques and concepts, including multiple imputation quality diagnostics, an important...
2nd edition. — Springer, 2024. — 262 p. — ISBN 978-3-031-47193-3. This book describes, extends, and illustrates the metrics of binary classification through worked examples.Worked examples based on pragmatic test accuracy study data are used in chapters to illustrate relevance to day-to-day clinical practice. Readers will gain an understanding of sensitivity and specificity and...
2nd edition. — New York: Chapman and Hall/CRC, 1995. — 268 p. Distribution-free statistical methods enable users to make statistical inferences with minimum assumptions about the population in question. They are widely used, especially in the areas of medical and psychological research. This new edition is aimed at senior undergraduate and graduate level. It also includes a...
Springer, 2020. — 415 p. — (Lecture Notes in Mathematics 2259). — ISBN: 978-3-030-42552-4. Presenting a range of substantive applied problems within Bayesian Statistics along with their Bayesian solutions, this book arises from a research program at CIRM in France in the second semester of 2018, which supported Kerrie Mengersen as a visiting Jean-Morlet Chair and Pierre Pudlo...
Belmont: Bmoks/ColeThomson Learning, 2005. — 480 p. Multivariate Statistical Methods fills a void in the marketplace, striking a crucial balance between the technical information and real-world applications of multivariate statistics. Donald Morrison has taught this course at the Wharton School for 33 years, and he has integrated his demonstrably successful teaching style into...
New York: Springer, 1993. — 285 p. The geometry of exponential families Calculus on manifolds Statistical manifolds Connections Curvature Information metrics and statistical divergences Asymptotics Bundles and tensors Higher-order geometry
Amsterdam: Springer, 1989. — 222 p. Asymptotic Properties of Certain Measures of Deviation for Kernel-Type Nonparametric Estimators of Probability Densities Strongly Consistent in Functional Metrics Estimators of Probability Density Limiting Distributions of Deviations of Kernel-Type Density Estimators Nonparametric Estimation of Regression Curves and Components of a...
Berlin: Springer, 2012. - 443 p. In many practical situations, we are interested in statistics characterizing a population of objects: e.g. in the mean height of people from a certain area. Most algorithms for estimating such statistics assume that the sample values are exact. In practice, sample values come from measurements, and measurements are never absolutely accurate....
Springer-Verlag, 1989. — 432 Pages.
ISBN: 1461269849.
This is the first half of a set of lecture notes with exercises - a text - for two semester course in mathematical statistics at the senior/graduate level for those who need a strong background in statistics as an essential tool in their career. To study this text, the reader needs a thorough familiarity with calculus...
New York: Routledge, 2014. — 526 p. Featuring in-depth coverage of categorical and nonparametric statistics, this book provides a conceptual framework for choosing the most appropriate type of test in various research scenarios. Class tested at the University of Nevada, the book's clear explanations of the underlying assumptions, computer simulations, and Exploring the Concept...
Springer, 2020. — 157 p. — (Springer Briefs In Probability and Mathematical Statistics). — ISBN: 978-3-030-38437-1. This open access book presents the key aspects of statistics in Wasserstein spaces, i.e. statistics in the space of probability measures when endowed with the geometry of optimal transportation. Further to reviewing state-of-the-art aspects, it also provides an...
Glasgow: Collins, 2005. — 121 p. The second edition of the authoritative guide to the theory and application of statistics. An approachable guide to the study of statistics will always be in demand, as knowledge of the subject's teaching and application is increasingly needed in the modern world. Encyclopedic in treatment after each initial definition, the book's entries have...
New York: Academic Press, 1983. — 536 p. Nonparametric Functional Estimation is a compendium of papers, written by experts, in the area of nonparametric functional estimation. This book attempts to be exhaustive in nature and is written both for specialists in the area as well as for students of statistics taking courses at the postgraduate level. The main emphasis throughout...
Boca Raton: CRC Press, 2002. — 501 p. Statistics in the Life and Medical Sciences Survival Analysis Causal Analysis in the Health Sciences Environmental Statistics Capture–Recapture Models Statistics in Animal Breeding Some Issues in Assessing Human Fertility Statistical Issues in Toxicology Receiver Operating Characteristic Methodology The Randomized Clinical Trial Some...
Elsevier, 1993. — 1039 p. — (Handbook of Statistics 9). Volume 9 of the Handbook of Statistics: Computational Statistics, illustrates the trend in modern statistics of basic methodology supported by the state-of the- art computational and graphical facilities, and their applications to diverse fields of human endeavour. Specifically it is designed to (1) serve as a practical...
N.-Y.: Kluwer, 2004. - 482p.
Geometric Data Analysis (GDA) is the name suggested by P. Suppes (Stanford University) to designate the approach to Multivariate Statistics initiated by Benzécri as Correspondence Analysis, an approach that has become more and more used and appreciated over the years.
Basel: Birkhäuser, 2004. — 499 p. Analysis of variance (ANOVA) models have become widely used tools and play a fundamental role in much of the application of statistics today. In particular, ANOVA models involving random effects have found widespread application to experimental design in a variety of fields requiring measurements of variance, including agriculture, biology,...
Singapore: World Scientific Publishing Company, 2014. - 308p.
This volume consists of a collection of research articles on classical and emerging Statistical Paradigms — parametric, non-parametric and semi-parametric, frequentist and Bayesian — encompassing both theoretical advances and emerging applications in a variety of scientific disciplines. For advances in theory, the...
CRC Press, 2024. — 180 p. — ISBN: 978-1-032-77106-9. In the dynamic landscape of modern data analysis, this curated guide by global experts explores the latest in statistical methodologies, modeling techniques, and optimization strategies. This comprehensive text offers insights into diverse fields such as engineering, economics, medicine, and agriculture, addressing real-world...
Springer, 2024. - 326 p. - ISBN 3031506006. This book is devoted to the fundamentals of order and rank statistics . Primarily focusing on theoretical properties , it also discusses practical aspects, including i nteresting applications of step and impulse functions for the distribution of random variables, magnitudes, and signs. New concepts are introduced, such as independent...
New York: Springer, 1991. — 383 p. This IMA Volume in Mathematics and its Applications DIRECTIONS IN ROBUST STATISTICS AND DIAGNOSTICS is based on the proceedings of the first four weeks of the six week IMA 1989 summer program "Robustness, Diagnostics, Computing and Graphics in Statistics". An important objective of the organizers was to draw a broad set of statisticians...
N.-Y.: Springer, 2007. — 152 p.
The purpose of this book is to discuss whether statistical methods make sense. That is a fair question, at the heart of the statistician-client relationship, but put so boldly it may arouse anger. The many books entitled something like Foundations of Statistics avoid controversy by merely describing the various methods without explaining why...
Springer, 2006. — 221 p. — (Springer Series in Statistics). — ISBN: 0387308148, 9780387308142
Over the last few decades, important progresses in the methods of sampling have been achieved. This book draws up an inventory of new methods that can be useful for selecting samples. Forty-six sampling methods are described in the framework of general theory. The algorithms are...
Учебное пособие. — Нижнекамск: КНИТУ, 2017. — 102 с. В пособие включены основные разделы математической статистики: основы выборочного метода, статистические оценки параметров распределения. По каждому разделу приводятся необходимые теоретические сведения, типовые примеры с решениями и задания для самостоятельного решения. Предназначено для бакалавров всех направлений и...
Липецк : ЛГТУ(Э), 2013 - 168 c. "Пособие соответствует государственным образовательным стандартам дисциплины ""Математика"" для технических специальностей бакалаврской подготовки. Представлены 120 вариантов девяти заданий по регрессионному анализу. Предназначено для студентов, изучающих математику в техническом вузе."
CII6ГУT. - CII6., 2014. — 52 c. Работа написана в соответствии с программой учебной дисциплины "Теория вероятностей и математическая статистика". По всем методам статистической обработки данных приведены примеры анализа. Введение. Описательная статистика. Задача точечного оценивания параметров распределения. Числовые характеристики выборочной совокупности. Интервальные оценки...
Москва: Московский государственный технический университет гражданской авиации (МГТУ ГА), 2009. — 64 с. Пособие содержит методику обработки статистических данных выборки, проверку гипотезы о законе распределения одномерных и двумерных случайных величин, 28 вариантов выборок объёма 100 одномерных случайной величины и 28 вариантов выборок объёма 50 двумерных случайной величины.
Тбилиси: Издательство Тбилисского университета, 1974. — 240 с. Оглавление: Предисловие Некоторые свойства эмпирической функции распределения Непараметрическая оценка плотности распределения Непараметрическая оценка плотности распределения в случае двух неизвестных мер Параметрическая оценка функции нормального распределения Свойства параметрической оценки плотности распределения...
М.: Вычислительный центр АН СССР, 1968. — 9 с. Работа посвящена приближенному решению проблемы Беренса-Фишера о сравнении средних значений в двух нормальных выборках при неизвестном отношении дисперсий. Приведено описание критерия, описание таблиц и пример использования критерия. Приведена таблица критических значений статистики.
Учебное пособие. — Казань : Бук, 2022. — 76 с. — ISBN 978-5-00118-837-7. Широко известным инструментом анализа статистических данных считается метод регрессионного анализа, разработанный для случая учета количественных объясняющих переменных. Анализ данных с качественными и разнотипными переменными также можно вести методами, близкими к тем, что используются при регрессионном...
Учебно-методическое пособие. — Минск: Белорусский национальный технический университет (БНТУ), 2022. — 84 с. — ISBN 978-985-583-821-1. Учебно-методическое пособие предназначено для студентов вузов, изучающих математическую статистику, может быть использовано аспирантами, магистрантами, инженерами для расчетов статистических данных любой структуры. В пособие включены...
М.: МГУ, 2023. — 114 с. Введение Критерии однородности и независимости: общее введение Актуальность проблемы Базовая терминология Задача однородности Общий подход Примеры критериев однородности Критерии с частной альтернативой Несколько подходов к построению критериев Перестановочный подход Метод Монте-Карло Краткое резюме Критерии однородности и независимости. Введение, часть...
New York: Springer, 2017. — 133 p. This book presents new findings on nonregular statistical estimation. Unlike other books on this topic, its major emphasis is on helping readers understand the meaning and implications of both regularity and irregularity through a certain family of distributions. In particular, it focuses on a truncated exponential family of distributions with...
Springer, 2017. — 214 p. AMISTAT, Prague, November 2015. This volume collects authoritative contributions on analytical methods and mathematical statistics. The methods presented include resampling techniques; the minimization of divergence; estimation theory and regression, eventually under shape or other constraints or long memory; and iterative approximations when the optimal...
Boston: Birkhauser, 2004. — 438 p.
Сборник работ, включающих широкий спектр вопросов математической статистики и её приложений, и представляющих собой доклады на конференции, посвящённой юбилею научной деятельности индийского статистика S. Panchapakesan. Среди разделов сборника: "Статистическое оценивание", "Ранжирование и отбор", "Множественные сравнения и тесты", "Проверка...
New York: Springer, 2013. — 86 p.
The classical statistical problem typically involves a probability distribution which depends on a number of unknown parameters. The form of the distribution may be known, partially or completely, and inferences have to be made on the basis of a sample of observations drawn from the distribution; often, but not necessarily, a random sample....
Springer, 2022. — 357 p. — ISBN 3031081757. This book is designed as a textbook for graduate students and as a resource for researchers seeking a thorough mathematical treatment of its subject. It develops the main results of regression and the analysis of variance , as well as the central results on confounded and fractional factorial experiments . Matrix theory is...
Utrecht: VSP, 2000. — 305 p. Foreword Notation Asymptotic Test Theory First-order asymptotic theory Second order efficiency On efficiency of first and second order Power loss Efficiency and deficiency Deficiency results for the symmetry problems Asymptotic Expansions under Alternatives A formal rule General Theorem Proof of General Theorem L-, R-, and U-statistics Auxiliary...
Berlin: Springer, 2015. - 297 p. This book contains papers presented at the Workshop on the Analysis of Large-scale, High-Dimensional, and Multi-Variate Data Using Topology and Statistics, held in Le Barp, France, June 2013. It features the work of some of the most prominent and recognized leaders in the field who examine challenges as well as detail solutions to the analysis...
New York: Springer, 2016. — 634 p. This research monograph provides a synthesis of a number of statistical tests and measures, which, at first consideration, appear disjoint and unrelated. Numerous comparisons of permutation and classical statistical methods are presented, and the two methods are compared via probability values and, where appropriate, measures of effect size....
New York: Springer, 1993. — 582 p. This book is about estimation in situations where we believe we have enough knowledge to model some features of the data parametrically, but are unwilling to assume anything for other features. Such models have arisen in a wide variety of contexts in recent years, particularly in economics, epidemiology, and astronomy. The complicated structure...
New York: Chapman and Hall/CRC, 2022. — 405 p. Data where for each entity and variable a distribution is given is called distributional data. In the era of "Big Data," this type of data is becoming more and more prevalent. This edited book presents a synthesis of research in this area over the last twenty years or so. It has been carefully edited to ensure it is consistent with...
Hoboken: Wiley, 2000. — 644 p. General Statistics presents a complete first course in statistics appropriate for students enrolled in a wide variety of disciplines. This mainstream, mid-level text offers non majors, in as precise and accurate manner as possible, the basic ideas of descriptive and inferential statistics. The new Fourth Edition retains many of the features and...
Springer, 2017. — 382 p. This book focuses on the statistical aspects of the analysis of degradation data. In recent years, degradation data analysis has come to play an increasingly important role in different disciplines such as reliability, public health sciences, and finance. For example, information on products’ reliability can be obtained by analyzing degradation data. In...
New York: Springer, 2008. - 372 p. Coefficients of Variations in Analysis of Macro-policy Effects: An Example of Two-Parameter Poisson-Dirichlet Distributions How Many Experiments Are Needed to Adapt? A Mutual Information Based Distance for Multivariate Gaussian Processes Differential Forms and Dynamical Systems An Algebraic Framework for Bayes Nets of Time Series A Birds Eye...
Cambridge: Cambridge University Press, 2010. — 332 p. Choosing a model is central to all statistical work with data. We have seen rapid advances in model fitting and in the theoretical understanding of model selection, yet this book is the first to synthesize research and practice from this active field. Model choice criteria are explained, discussed and compared, including the...
Wiley, 2018. — 229 p. — ISBN: 978-1-118-66937-2. A preeminent expert in the field explores new and exciting methodologies in the ever-growing field of robust statistics Used to develop data analytical methods, which are resistant to outlying observations in the data, while capable of detecting outliers, robust statistics is extremely useful for solving an array of common...
Marcel Dekker, 1991. — 328 p. Singly truncated and singly censored samples from the normal distribution. Multirestricted samples from the normal distribution. Linear estimations. Truncated and censored samples from the Weibull distribution. Truncated and censored samples from the lognormal distribution. Truncated and censored samples from the inverse Gaussian and the gamma...
Chapman & Hall, 1982. — 230 p. Diagnostic methods using residuals; Assessment of influence; Alternative approaches to influence; Assessment of influence in other problems.
Springer, 2018. — 222 p. — (Advanced Courses in Mathematics CRM Barcelona). — ISBN: 978-3-319-92239-3. This book provides a systematic survey of classical and recent results on hyperbolic cross approximation. Motivated by numerous applications, the last two decades have seen great success in studying multivariate approximation. Multivariate problems have proven to be...
Routledge, 2012. — 297 p. This book presents recent developments in the theory and application of latent variable models (LVMs) by some of the most prominent researchers in the field. Topics covered involve a range of LVM frameworks including item response theory, structural equation modeling, factor analysis, and latent curve modeling, as well as various non-standard data...
Hoboken: Wiley, 2010. — 553 p. A comprehensive examination of high-dimensional analysis of multivariate methods and their real-world applications Multivariate Statistics: High-Dimensional and Large-Sample Approximations is the first book of its kind to explore how classical multivariate methods can be revised and used in place of conventional statistical tools. Written by...
Springer, 2004. — 1078 pages. The Handbook of Computational Statistics - Concepts and Methods ist divided into 4 parts. It begins with an overview of the field of Computational Statistics, how it emerged as a seperate discipline, how it developed along the development of hard- and software, including a discussionof current active research. The second part presents several...
Springer, 1988. — 110 p. Much of the traditional approach to linear model analysis is bound up in complex matrix expressions revolving about the usual generalized inverse. Motivated by this important role of the generalized inverse. the research summarized here began as an interest in understanding. in geometric terms. the four conditions defining the qnique Moore-Penrose...
Cambridge: Cambridge University Press, 2016. — 704 p. — ISBN: 978-1-107-04316-9. In nonparametric and high-dimensional statistical models, the classical Gauss-Fisher-Le Cam theory of the optimality of maximum likelihood estimators and Bayesian posterior inference does not apply, and new foundations and ideas have been developed in the past several decades. This book gives a...
2nd Edition. — CRC Press, 2022. — 364 p. — ISBN 978-0-367-74621-6. Praise for the first edition: "This book] succeeds singularly at providing a structured introduction to this active field of research. … it is arguably the most accessible overview yet published of the mathematical ideas and principles that one needs to master to enter the field of high-dimensional statistics. …...
Routledge, 2024. — 545 p. This fully updated fourth edition explores the foundations of statistical reasoning, focusing on how to interpret psychological data and statistical results. This edition includes three important new features. First, the book is closely integrated with the free statistical analysis program JASP. Thus, students learn how to use JASP to help with tasks...
Chichester: Royal Statistical Society, 1985. — 316 p. This collection of algorithms from the Royal Statistical Society's journal Applied Statistics is the first of its kind: it promises to become a standard reference work. Over 200 algorithms have appeared in the Algorithms Section of Applied Statistics over the last 16 years, and the time is right for this anthology which...
3rd Edition. — Routledge; Taylor & Francis, 2022. — 453 p. — ISBN 978-0-8153-6009-4. Detection Theory: A User’s Guide is an introduction to one of the most important tools for the analysis of data where choices must be made and performance is not perfect. In these cases, detection theory can transform judgments about subjective experiences, such as perceptions and memories,...
World Scientific, 2011. — 366 p. — ISBN: 9814340553, 9789814340557
This festschrift includes papers authored by many collaborators, colleagues, and students of Professor Thomas P Hettmansperger, who worked in research in nonparametric statistics, rank statistics, robustness, and mixture models during a career that spanned nearly 40 years. It is a broad sample of peer-reviewed,...
7th Edition. — Rowman & Littlefield, 2022. — 235 p. Statistics for the Terrified offers a clear and concise introduction to statistics. Perfect as a brief core or supplementary text for undergraduate courses in statistics and research methods, this seventh edition is also an ideal refresher for graduate students who have already taken a statistics course. Designed for students...
Hoboken: Wiley, 1986. — 160 p. The first work to deal exclusively with objective criteria for comparing statistical models. Using a simple framework, it outlines a general strategy for selecting a model and applies this strategy to develop methods useful for solving specific selection problems. Topics covered include histograms, univariate distributions, simple and multiple...
Springer, 2016. — 284 p. Michigan, USA, April 2015: Selected, Revised, and Extended Contributions. The contributors to this volume include many of the distinguished researchers in this area. Many of these scholars have collaborated with Joseph McKean to develop underlying theory for these methods, obtain small sample corrections, and develop efficient algorithms for their...
Boca Raton: CRC Press, 2024. — 366 p. This book is intended for anyone who is considering a career in statistics or a related field, or those at any point in their career with sufficient work time remaining such that investing in additional learning could be beneficial. As such, the book would be suitable for anyone pursing an MS or PhD in statistics or those already working in...
New York: Springer, 2003. — 187 p. Sample data alone never suffice to draw conclusions about populations. Inference always requires assumptions about the population and sampling process. Statistical theory has revealed much about how strength of assumptions affects the precision of point estimates, but has had much less to say about how it affects the identification of population...
New York: McGraw-Hil, 2013. — 254 p. 500 Ways to Achieve Your Best Grades We want you to succeed on your statistics midterm and final exams. That's why we've selected these 500 questions to help you study more effectively, use your preparation time wisely, and get your best grades. These questions and answers are similar to the ones you’ll find on a typical college exam, so you...
Houston: Rice University, 2014. — 907 p.
Introductory Statistics follows the scope and sequence of a one-semester, introduction to statistics course and is geared toward students majoring in fields other than math or engineering. This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the...
Elsevier, 2009. — 628 p. — (Handbook of Statistics 29B). This new handbook contains the most comprehensive account of sample surveys theory and practice to date. It is a second volume on sample surveys, with the goal of updating and extending the sampling volume published as volume 6 of the Handbook of Statistics in 1988. The present handbook is divided into two volumes (29A...
Springer, 2017. — 626 p. This book is devoted to biased sampling problems (also called choice-based sampling in Econometrics parlance) and over-identified parameter estimation problems. Biased sampling problems appear in many areas of research, including Medicine, Epidemiology and Public Health, the Social Sciences and Economics. The book addresses a range of important topics,...
North Holland, 2012. — 730 p. The field of statistics not only affects all areas of scientific activity, but also many other matters such as public policy. It is branching rapidly into so many different subjects that a series of handbooks is the only way of comprehensively presenting the various aspects of statistical methodology, applications, and recent developments. The...
2nd. ed. - CRC Press, 2022. - 529 p. - (Texts in Statistical Science). - ISBN 1439858063. Thoroughly updated throughout, A First Course in Linear Model Theory, Second Edition is an intermediate-level statistics text that fills an important gap by presenting the theory of linear statistical models at a level appropriate for senior undergraduate or first-year graduate students ....
New York: Chapman and Hall/CRC, 2001. — 384 p. An introductory text for students taking a first course in statistics-in fields as diverse as engineering, business, chemistry, and biology-Essential Statistics: Fourth Edition thoroughly updates and enhances the hugely successful third edition. It presents new information on modern statistical techniques such as Analysis of...
Berlin: Springer, 1983. - 238p. The first part book surveys available methods of robust and quasi-robust statistical methods. The theory is presented in an expository style and in a unifying manner which allows seemingly disparate items to find their place in a common structure. It then becomes gradually clear that the techincal requirements leading to robustness are very...
Springer, 2014. — 281 p. — ISBN: 978-4-431-54974-1; ISBN: 978-4-431-54973-4; ISBN: 978-4-431-56229-0. Applied data-centric social sciences aim to develop both methodology and practical applications of various fields of social sciences and businesses with rich data. Specifically, in the social sciences, a vast amount of data on human activities may be useful for understanding...
CRC Press, 2025. - 256 p. - (Chapman & Hall/CRC Texts in Statistical Science). - ISBN 103279710X. Students cultivate learning techniques in school that emphasize procedural problem solving and rote memorization. This leads to efficient problem solving for familiar problems. However, conducting novel research is an exercise in creative problem solving that is at odds with a...
Singapore: World Scientific, 2000. — 298 p. This volume provides an exposition of some fundamental aspects of the asymptotic theory of statistical experiments. The most important of them is “how to construct asymptotically optimal decisions if we know the structure of optimal decisions for the limit experiment”. Statistical Experiments and Their Comparison Convergence of...
Wiley-Interscience, 2005. — 532 p. — ISBN: 0-471-20827-2.
Statistical inference is finding useful applications in numerous fields, from sociology and econometrics to biostatistics. This volume enables professionals in these and related fields to master the concepts of statistical inference under inequality constraints and to apply the theory to problems in a variety of areas....
Harvard: Harvard University Press, 1999. — 503 p. This collection of essays examines in detail the history of some of the concepts involved in bringing statistical argument "to the table", and some of the pitfalls that have been encountered. Topics range from 17th century medicine and blood circulation to the meter of Virgil's poetry. Statistics and Social Science Karl Pearson...
Amsterdam: de Gruyter, 1985. - 506p. Statistical Experiments and Asymptotic Decision Theory Frontmatter Basic Notions on Probability Measures Elementary Theory of Testing Hypotheses Binary Experiments Sufficiency, Exhaustivity, and Randomizations Exponential Experiments More Theory of Testing Theory of estimation General decision theory Comparison of experiments Asymptotic...
American Mathematical Society, 2018. — 506 p. — ISBN 1470435179. Algebraic statistics uses tools from algebraic geometry, commutative algebra, combinatorics, and their computational sides to address problems in statistics and its applications. The starting point for this connection is the observation that many statistical models are semialgebraic sets. The algebra/statistics...
World Scientific, 1998. — 208 p. This book is about both the mathematics of sample surveys and about sample surveys. The mathematics is both elementary and rigorous. It is suitable for a one year junior-senior level course for mathematics and statistics majors as well as for students in the social sciences who are not handicapped by a fear of proofs in mathematics. It requires...
Routledge, 2014. — xiv+344 p. — ISBN: 978-0-203-52692-7. True PDF Assuming no familiarity with statistical methods, this text for language education research methods and statistics courses provides detailed guidance and instruction on principles of designing, conducting, interpreting, reading, and evaluating statistical research done in classroom settings or with a small number...
New York: Springer, 1998. — 241 p.
This book gives a comprehensive introduction to exponential family nonlinear models, which are the natural extension of generalized linear models and normal nonlinear regression models. The differential geometric framework is presented for these models and the geometric methods are widely used in this book. The author also pays more attention...
Cambridge University Press, 2016. — 1428 p. — ISBN: 978-1107461185. True PDF Engaging and accessible to students from a wide variety of mathematical backgrounds, Statistics Using Stata combines the teaching of statistical concepts with the acquisition of the popular Stata software package. It closely aligns Stata commands with numerous examples based on real data, enabling...
Oxford University Press, 2009. — 341 p. This introductory statistics textbook for non-statisticians covers basic principles, concepts, and methods routinely used in applied research. What sets this text apart is the incorporation of the many advances and insights from the last half century when explaining basic principles. These advances provide a foundation for vastly improving...
New York: Springer, 2020. — 182 p. This monograph provides a concise point of research topics and reference for modeling correlated response data with time-dependent covariates, and longitudinal data for the analysis of population-averaged models, highlighting methods by a variety of pioneering scholars. While the models presented in the volume are applied to health and...
Cambridge: Cambridge University Press, 2015. — 129 p. Based on a starter course for beginning graduate students, Core Statistics provides concise coverage of the fundamentals of inference for parametric statistical models, including both theory and practical numerical computation. The book considers both frequentist maximum likelihood and Bayesian stochastic simulation while...
Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability (Book 112). — Chapman & Hall/CRC, 2009. — 279 p. — ISBN: 1420064266, 978-1420064261. The First Book Dedicated to This Class of Longitudinal Models. . Although antedependence models are particularly useful for modeling longitudinal data that exhibit serial correlation, few books adequately cover these...
Методические рекомендации. — Витебск: Витебский государственный университет им. П.М. Машерова (ВГУ), 2020. — 48 с. Настоящее учебное издание содержит теоретический материал, примеры решения задач и задачи для самостоятельного решения. Оно может использоваться для организации самостоятельной работы студентов, а также при проведении практических занятий. Предназначается для...
Учебно-методическое пособие. — Минск: Белорусский государственный университет (БГУ), 2023. — 110 с.: ил. Учебно-методическое пособие предназначено для студентов факультета философии и социальных наук БГУ специальностей «Социология», «Социальные коммуникации». Каждая тема содержит исторические сведения, теоретический материал, примеры решения, задачи для самостоятельного решения...
Учебное пособие по дисциплине «Теория вероятностей и математическая статистика». — Владивосток: Дальневосточный федеральный университет (ДВФУ), 2021. — 101 с. — ISBN 987-5-7444-5225-4. Дисциплина «Теория вероятностей и математическая статистика» изучается с учетом базового раздела дисциплины «Высшая математика». В пособии раскрываются вопросы, связанные со статистической...
Вильнюс: 1981 — 161 с.
Сборник посвящен рассмотрению теоретических и прикладных вопросов, связанных со статистическими методами контроля надежности и качества.
Учебное пособие. – Челябинск: Изд-во ЗАО «Библиотека А. Миллера», 2021. – 63 с. Учебное пособие содержит краткое изложение методического материала по использованию статистических методов, таких как корреляционный анализ и регрессионный анализ; методические указания по решению типовых задач и 35 вариантов задач для тренировочной, самостоятельной и контрольной работы студентов....
Учебное пособие. — Благовещенск: Дальневосточный государственный аграрный университет (ДальГАУ), 2015. — 93 с. В работе последовательно излагаются статистические методы обработки экспериментальных данных: построение гистограмм; точечные и интервальные оценки; критерии Барлетта и Кохрена; метод регрессионного анализа; изложены элементы планирования, постановка факторного...
Учебное пособие. — Новосибирск: Новосибирский государственный университет, 2022. — 92 с. Настоящее учебное пособие подготовлено для студентов 3 курса физического факультета, изучающих теорию вероятностей и математическую статистику в пятом семестре. Пособие содержит теоретический материал, задачи для решения в аудитории и для самостоятельного решения, таблицы распределений....
Учебное пособие. — СПб.: Санкт-Петербургский политехнический университет Петра Великого (СПбПУ), 2023. — 17 с. В работе излагается математический подход в задаче оценивания плотности распределения по эмпирическим данным.
Учебное пособие. — Томск: Томский государственный университет систем управления и радиоэлектроники, 2018. — 36 с. Типовые приёмы в статистических исследованиях Статистические исследования электрических схем по методу Монте-Карло Полный факторный эксперимент при анализе источников электромагнитного излучения Список литературы
Учебное пособие. — Казань: Казанский федеральный университет (КФУ), 2022. — 52 с. В учебном пособии рассматриваются методы и приемы статистического описания данных: точечные и интервальные оценки параметров распределений, проверка статистических гипотез. Предназначено для студентов, обучающихся по направлениям Физика, Радиофизика, Астрономия, Геодезия и дистанционное...
Учебное пособие. — СПб.: ГУАП, 2013. — 80 с. — ISBN 978-5-8088-0788-4 Учебное пособие составлено в соответствии с программой по высшей математике для студентов, обучающихся по направлениям «Приборостроение», «Радиофизика» и «Информатика», в том числе на заочном факультете. Во второй части пособия рассмотрены разделы курса математической статистики, включающие определение...
Newcastle upon Tyne: Cambridge Scholars Publishing, 2010. — 236 p. Ranked Set Sampling is one of the new areas of study in this region of the world and is a growing subject of research. Recently, researchers have paid attention to the development of the types of sampling; though it was not welcome in the beginning, it has numerous advantages over the classical sampling...
New York: Springer, 1995. — 187 p. In the last decade, graphical models have become increasingly popular as a statistical tool. This book is the first which provides an account of graphical models for multivariate complex normal distributions. Beginning with an introduction to the multivariate complex normal distribution, the authors develop the marginal and conditional...
New York: Springer, 1999. — 418 p. Conditional Specification: Concepts and Theorems Exact and Near Compatibility in Distributions with Finite Support Sets Distributions with Normal Conditionals Conditionals in Exponential Families Other Conditionally Specified Families Improper and Nonstandard Models Characterizations Involving Conditional Moments Multivariate Extensions...
New York: John Wiley & Sons Inc, 1981. — 504 p. Basic statistical definitions and theorems. Subspaces and projections. Properties of the multivariate and spherical normal distributions. Introduction to linear models. A sufficient statistic. Estimation. Tests about the mean. Simultaneous confidence intervals - scheffe type. Tests about the variance. Asymptotic validity of...
Springer, 2018. — 131 p. This concise volume covers nonparametric statistics topics that most are most likely to be seen and used from a practical decision support perspective. While many degree programs require a course in parametric statistics, these methods are often inadequate for real-world decision making in business environments. Much of the data collected today by business...
New York: Springer, 2020. — 551 p. In the statistical domain, certain topics have received considerable attention during the last decade or so, necessitated by the growth and evolution of data and theoretical challenges. This growth has invariably been accompanied by computational advancement, which has presented end users as well as researchers with the necessary opportunities...
Cham: Springer International Publishing, 2015. — 284 p. This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in one self-contained volume, this book systematically covers key statistical, probabilistic, combinatorial and geometric ideas for understanding, analyzing and developing...
Statistics in Medicine, vol. 15, 1107-1121 (1996)
Статья посвящена разрешению возникающего при множественном сравнении трудности. Применение обычных статистических критериев к каждому сравнению по отдельности порождает ложные отвержения нуль-гипотезы, а борьба с этим эффектом при помощи поправок Бонферрони и т.п. приводит, напротив, к принятию нуль-гипотезы даже при наличии...
New York: Springer, 2004. — 162 p. This monograph introduces elementary fuzzy statistics based on crisp (non-fuzzy) data. In the introductory chapters the book presents a very readable survey of fuzzy sets including fuzzy arithmetic and fuzzy functions. The book develops fuzzy estimation and demonstrates the construction of fuzzy estimators for various important and special cases...
Springer, 2022. — 273 p. — (Indian Statistical Institute Series). — ISBN 978-981-19-1417-1. As a comprehensive textbook in survey sampling, this book discusses the inadequacies of classic, designed-based inferential procedures and provides alternative approaches in the form of model formulations, model-design-based procedures of analysis, inference and interpretation. The book...
Philadelphia: Sage Publications, Inc, 2002. — 105 p. — ISBN: 9780761922285, 0761922288. Correlations, in general, and the Pearson product-moment correlation in particular, can be used for many research purposes, ranging from describing a relationship between two variables as a descriptive statistic to examining a relationship between two variables in a population as an...
New York: Chapman and Hall/CRC, 2020. — 273 p. Statistical and mathematical models are defined by parameters that describe different characteristics of those models. Ideally it would be possible to find parameter estimates for every parameter in that model, but, in some cases, this is not possible. For example, two parameters that only ever appear in the model as a product...
New York: Springer, 2019. — 131 p. This book is devoted to Corrado Gini, father of the Italian statistical school. It celebrates the 50th anniversary of his death by bearing witness to the continuing extraordinary scientific relevance of his interdisciplinary interests. The book comprises a selection of the papers presented at the conference of the Italian Statistical Society,...
London: Chapman and Hall, 1990. — 280 p. Repeated measures data arise when the same characteristic is measured on each case or subject at several times or under several conditions. There is a multitude of techniques available for analysing such data and in the past this has led to some confusion. This book describes the whole spectrum of approaches, beginning with very simple...
London: Routledge, 2016. — 594 p. This is the first introductory statistics text to use an estimation approach from the start to help readers understand effect sizes, confidence intervals (CIs), and meta-analysis (‘the new statistics’). It is also the first text to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of...
Springer, 1985. — 204 p. Three basic types of statistics are treated in this book : Hoeffding's U-statistics, differentiable statistical functionals and statistics based on ranks. Although the emphasis lies on the asymptotic distribution theory for these statistics I intended to give some motivation from two viewpoints. The examples cover more than is needed for illustrations and...
Basel: Birkhäuser, 2002. — 446 p. This volume contains a selection of invited papers, presented to the fourth In Statistical Analysis Based on the L1-Norm and Related ternational Conference on Methods, held in Neuchatel, Switzerland, from August 4-9, 2002. Organized jointly by the University of Illinois at Chicago (Gib Bassett), the Rutgers University (Regina Liu and Yehuda...
New York: Chapman and Hall/CRC, 2008. — 633 p. Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of...
New York: Springer, 2016. — 313 p.
This book features research contributions from The Abel Symposium on Statistical Analysis for High Dimensional Data, held in Nyvågar, Lofoten, Norway, in May 2014.
The focus of the symposium was on statistical and machine learning methodologies specifically developed for inference in “big data” situations, with particular reference to genomic...
Amsterdam: Springer, 2008. — 406 p. Increased attention is being paid to the need for statistically educated citizens: statistics is now included in the K-12 mathematics curriculum, increasing numbers of students are taking courses in high school, and introductory statistics courses are required in college. However, increasing the amount of instruction is not sufficient to...
Springer, 2021. — 443 p. — (Emerging Topics in Statistics and Biostatistics). — ISBN 978-3-030-62899-4. This edited collection brings together internationally recognized experts in a range of areas of statistical science to honor the contributions of the distinguished statistician, Barry C. Arnold. A pioneering scholar and professor of statistics at the University of...
Boca Raton: CRC Press, 2003. — 583 p. Significantly revised and expanded, Multivariate Statistical Analysis, Second Edition addresses several added topics related to the properties and characterization of symmetric distributions, elliptically symmetric multivariate distributions, singular symmetric distributions, estimation of covariance matrices, tests of mean against...
Imperial College Press, 2014. — 232 p. — ISBN: 1783264683, 9781783264681
This book provides a comprehensive foundation in Probabilistic Normed (PN) Spaces for anyone conducting research in this field of mathematics and statistics. It is the first to fully discuss the developments and the open problems of this highly relevant topic, introduced by A N Serstnev in the early 1960s...
Nova Science Pub, 2018. — 504 p. Sampling techniques have been widely used in almost all areas of life. The method of drawing a sample is very important for estimation of population characteristics. In this book we have made an attempt to discuss popular sampling designs and estimation methods that can be used for estimation of population characteristics. This book presents two...
Boston: Academic Press, 1986. — 275 p. Dedication Introduction and Historical Perspective The Definition of Seasonality Evaluation Criteria for Seasonal Adjustment Procedures The Errors-in-Variables Model The Errors-in-Variables Model: Application of Officially Adjusted Series The Time-Varying Parameter Model The Integrated Econometric Time-Series Procedure Conclusions Other...
L.: Chapman & Hall, 1997. - 249 p. The theory of dispersion models straddles both statistics and probability, and involves an encyclopedic collection of tools, such as exponential families, asymptotic theory, stochastic processes, Tauber theory, infinite divisibility, and stable distributions. The Theory of Dispersion Models introduces the reader to these models, which serve as...
Society for Industrial and Applied Mathematics, Philadelphia, 1993 - 226 pages
This book is a result of a fruitful collaboration by three major research workers on PMC. It is a comprehensive survey of recent contributions to the subject. It discusses the merits and deficiencies of PMC, throws light on recent controversies, and formulates new problems for further research....
5h Edition. — Oxford University Press, 1990. — 280 p. The measurement of rank correlation Introductory remarks Kendall tau coefficient Tau as a coefficient of concordance Tau as a coefficient of disarray Spearman’s rho Conjugate rankings Daniels’ inequality The Durbin-Stuart inequality Stragglers Notes and references Problems Introduction to the general theory of rank...
N.-Y.: Wiley, 1998. - 384p.
An advanced discussion of linear models with mixed or random effects.In recent years a breakthrough has occurred in our ability to draw inferences from exact and optimum tests of variance component models, generating much research activity that relies on linear models with mixed and random effects. This volume covers the most important research of...
London: Nova Science Pub Inc, 2010. — 317 p. In this book the authors consider so-called ill-posed problems and stability in statistics. The objective of the authors of this book is to identify statistical problems of this type, find their stable variant, and propose alternative versions of numerous theorems in mathematical statistics.
N.-Y.: Springer, 2014. - 396p.
This volume highlights Prof. Hira Koul’s achievements in many areas of Statistics, including Asymptotic theory of statistical inference, Robustness, Weighted empirical processes and their applications, Survival Analysis, Nonlinear time series and Econometrics, among others. Chapters are all original papers that explore the frontiers of these areas...
Springer, 2021. — 175 p. This book presents and discusses the numerous measures of test performance that can be derived from 2x2 tables. Worked examples based on pragmatic test accuracy study data are used in chapters to illustrate relevance to day-to-day clinical practice. Readers will gain a good understanding of sensitivity and specificity and predictive values along with...
SIAM, 2004. — 106 p. Bayesian Nonparametrics via Neural Networks is the first book to focus on neural networks in the context of nonparametric regression and classification, working within the Bayesian paradigm. It discusses neural networks in a statistical context, an approach in contrast to existing books, which tend to treat neural networks as a machine learning algorithm...
Artical, Biometrical Journal 45 (2003) 3, 165–181
Institute of Statistics, National Chiao Tung University, Hsinchu, Taiwan, R.O.C.
In this paper we consider maximum likelihood analysis of generalized growth curve model with the
Box-Cox transformation when the covariance matrix has AR(q) dependence structure with grouping
variances. Results are illustrated with real and...
NSF-CBMS Regional Conference Series in Probability and Statistics, Volume 5, 1995. — 172 p. The mixture model has long been a challenge to the statistician, whether beginner, practitioner, or theoretician. Recent times have seen great advances in our understanding of some basic mathematical features of this model, and these notes are meant to be a unification of the work I have...
CRC Press, 2025. - 243 p. - (Monographs on Statistics and Applied Probability, 176). - ISBN: 1032493569. Statistics has developed as a field through seminal ideas and fascinating controversies. Seminal Ideas and Controversies in Statistics concerns a wide-ranging set of 15 important statistical topics, grouped into three general areas: philosophical approaches to statistical...
Wiley-Interscience, 2007. — 329 p. Heavy-tailed distributions are typical for phenomena in complex multi-component systems such as biometry, economics, ecological systems, sociology, web access statistics, internet traffic, biblio-metrics, finance and business. The analysis of such distributions requires special methods of estimation due to their specific features. These are...
Springer, 2022. — 938 p. — ISBN 9783030958633 Mathematical Preliminaries The Univariate Gaussian and Related Distributions The Multivariate Gaussian and Related Distributions The Matrix-Variate Gaussian Distribution Matrix-Variate Gamma and Beta Distributions Hypothesis Testing and Null Distributions Rectangular Matrix-Variate Distributions The Distributions of Eigenvalues and...
Cambridge: Cambridge University Press, 1999. — 329 p. The generalized method of moments (GMM) estimation has emerged over the past decade as providing a ready to use, flexible tool of application to a large number of econometric and economic models by relying on mild, plausible assumptions. The principal objective of this volume, the first devoted entirely to the GMM methodology,...
Springer, 2024. - 276 p. - ISBN 3031607686. This book does not focus solely on asymptotic extreme value distributions. In addition to the traditional asymptotic methods, it introduces a data-driven, computer-based method , which provides insights into the exact extreme value distribution inherent in the data, and which avoids asymptotics. It therefore differs from currently...
New York: Springer, 2017. — 116 p. This book provides a general theoretical background for constructing the recursive Bayesian estimation algorithms for mixture models. It collects the recursive algorithms for estimating dynamic mixtures of various distributions and brings them in the unified form, providing a scheme for constructing the estimation algorithm for a mixture of...
New York: Springer, 2018. — 104 p. This SpringerBrief covers the technical material related to large scale hierarchical classification (LSHC). HC is an important machine learning problem that has been researched and explored extensively in the past few years. In this book, the authors provide a comprehensive overview of various state-of-the-art existing methods and algorithms...
Saint-Flour: XXVII Saint-Flour Summer School on Probability and Statistics, 1998. — 200 p. Estimating regression functions from Hölder balls Introduction Recovering a univariate Lipschitz continuous function Extension: recovering functions from Hölder balls Appendix: proof of the Fano inequality Estimating regression functions from Sobolev balls Lower bounds for the minimax...
New York: Springer, 1982. - 159p. In this monograph we have considered a class of autoregressive models whose coefficients are random. The models have special appeal among the non-linear models so far considered in the statistical literature, in that their analysis is quite tractable. It has been possible to find conditions for stationarity and stability, to derive estimates of...
New York: Springer, 2014. — 283 p. This volume of the Selected Papers is a product of the XIX Congress of the Portuguese Statistical Society, held at the Portuguese town of Nazaré, from September 28 to October 1, 2011. All contributions were selected after a thorough peer-review process. It covers a broad scope of papers in the areas of Statistical Science, Probability and...
Laxmi Publications, 2021. — 202 p. Probability and Expectation Probability Distributions Statistical Decision Theory Sampling and Sampling Distributions Hypothesis Testing Non-Parametric Tests Regression Analysis Statistical Quality Control
Boca Raton: CRC Press, 2023. — 214 p. The chapters in this book deal with basic formulation of waveguide cavity resonator equations especially when the cross sections of the guides and resonators have arbitrary shapes. The focus is on expressing the total field energy within such a cavity resonator as a quadratic form in the complex coefficients that determine the modal...
Bookboon, 2018. — 87 p. Introductory Nonparametrics gives a gentle introduction to nonparametric hypothesis testing. It describes some simple tests, such as the sign and runs tests, and the Kruskal-Wallis, Friedman and Durbin tests, tests of the most frequently encountered experimental designs, the completely randomised, randomised block and balanced incomplete block design...
Hoboken: Wiley, 2023. — 243 p. Complete reference for applied statisticians and data analysts that uniquely covers the new statistical methodologies that enable deeper data analysis An Introduction to Cochran-Mantel-Haenszel Testing and Nonparametric ANOVA provides readers with powerful new statistical methodologies that enable deeper data analysis. The book offers applied...
New York: Chapman and Hall/CRC, 2002. — 294 p. The use of statistics in biology, medicine, engineering, and the sciences has grown dramatically in recent years and having a basic background in the subject has become a near necessity for students and researchers in these fields. Although many introductory statistics books already exist, too often their focus leans towards theory...
InTech, 2007. — 308 p. This book is aimed at raising awareness of researchers, scientists and engineers on the benefits of Principal Component Analysis (PCA) in data analysis. In this book, the reader will find the applications of PCA in fields such as image processing, biometric, face recognition and speech processing. It also includes the core concepts and the...
Boca Raton: CRC Press, 2018. — 259 p. This book explains the advanced but essential concepts of Multivariate Statistics in a practical way while touching the mathematical logic in a befitting manner. The illustrations are based on real case studies from a super specialty hospital where active research is going on.
Heldelberg: Springer, 1995. - 179p. Reduced rank regression is widely used in statistics to model multivariate data. In this monograph, theoretical and data analytical approaches are developed for the application of reduced rank regression in multivariate prediction problems. For the first time, both classical and Bayesian inference is discussed, using recently proposed...
Oxford: Oxford University Press, 2001. — 195 p. This book provides an introduction to the modern theory of likelihood-based statistical inference. This theory is characterized by several important features. One is the recognition that it is desirable to condition on relevant ancillary statistics. Another is that probability approximations are based on saddlepoint and closely...
Springer, 2022. — 120 p. — (SpringerBriefs in Statistics). — ISBN 9811927073. This book focuses on multiple comparisons of proportions in multi-sample models with Bernoulli responses . First, the author explains the one-sample and two-sample methods that form the basis of multiple comparisons. Then, regularity conditions are stated in detail. Simultaneous inference for all...
Springer, 2020. — 330 p. — (The Springer Series on Demographic Methods and Population Analysis 48). — ISBN: 978-3-030-26491-8. This book introduces demographic applications which employ current demographic concepts and theories and cutting-edge methods and findings, all of which have and will continue to have an impact in the broad area of social demography. Through providing...
New York: W.H. Freeman, 2011. — 579 p. Statistics Through Applications (STA) is the only text written specifically for high school statistics course. Designed to be read, the book takes a data analysis approach that emphasizes conceptual understanding over computation, while recognizing that some computation is necessary. The focus is on the statistical thinking behind data...
Harvard University Press, 2016. — 240 p. What gives statistics its unity as a science? Stephen Stigler sets forth the seven foundational ideas of statistics—a scientific discipline related to but distinct from mathematics and computer science and one which often seems counterintuitive. His original account will fascinate the interested layperson and engage the professional...
Springer, 2018. — 261 p. Proceedings of the LINSTAT2016 Meeting Held 22–25 August 2016 in Istanbul, Turkey. This volume features selected contributions on a variety of topics related to linear statistical inference. The peer-reviewed papers from the International Conference on Trends and Perspectives in Linear Statistical Inference (LinStat 2016) held in Istanbul, Turkey, 22-25...
Cambridge: Cambridge University Press, 2013. — 239 p. Providing the knowledge and practical experience to begin analysing scientific data, this book is ideal for physical sciences students wishing to improve their data handling skills. The book focuses on explaining and developing the practice and understanding of basic statistical analysis, concentrating on a few core ideas,...
Amsterdam: Springer, 1993. — 532 p. Statistical inferential methods are widely used in the study of various physical, biological, social, and other phenomena. Parametric estimation is one such method. Although there are many books which consider problems of statistical point estimation, this volume is the first to be devoted solely to the problem of unbiased estimation. It...
London, UK: Open University Press, 2010. — 233 p. — ISBN: 0335235972. "This book makes the task of interpreting statistical findings much more approachable and less daunting for those with little, or no, previous experience, and will provide a valuable reference for the more experienced researcher. I would recommend it to any student undertaking a Nursing Research module."...
New York: John Wiley & Sons, 2017. — 289 p. Turing's Formula Estimation of Simpson's Indices Estimation of Shannon's Entropy Estimation of Diversity Indices Estimation of Information Domains of Attraction on Countable Alphabets Estimation of Tail Probability.
Монография. — Пер. англ. М.С. Никулина. — Под ред. Л.Н. Большева. — М.: Наука, Главная редакция физико-математической литературы, 1977. — 408 c. OCR. В настоящей книге в доступной форме излагаются основные статистические идеи теории оценивания, проверки гипотез, дисперсионного и регрессионного анализа; приводятся обстоятельные примеры решений типовых задач теоретического и...
Учебное пособие. — Пермь: Пермский государственный национальный исследовательский университет (ПГНИУ), 2021. — 89 с. — ISBN 978-5-7944-3758-4. В настоящем пособии приводится необходимый математический аппарат для использования планов непрерывного классического контроля и контроля с памятью; для наиболее применяемых правил остановки непрерывного контроля, как важнейшей...
Учебное пособие. — СПб.: СПбГЭТУ ЛЭТИ, 2012. — 92 с. Введение. Основные понятия математической статистики. Оценивание параметров распределений. Проверка статистических гипотез. Понятие о последовательном анализе. Понятие о корреляционном анализе. Список литературы.
Учебно-практическое пособие. — Челябинск: Издательство Южно-Уральского государственного гуманиатарно-педагогического университета, 2018. — 122 с. — ISBN: 978-5-6042129-5-0. Пособие содержит методические рекомендации, решение типовых задач и 20-30 вариантов заданий к лабораторно-практическим работам по следующим темам: вариационные ряды и их выборочные характеристики,...
Учебно-методическое пособие. — Брест: Брестский государственный технический университет (БрГТУ), 2018. — 46 с. Настоящая разработка содержит в краткой форме методические указания по курсу «Статистикам. Рассмотрены статистические показатели, необходимые для решения практических заданий, приведены типовые примеры с подробными решениями, способствующие развитию профессиональных...
Учебное пособие. — Комсомольск-на-Амуре: Комсомольский-на-Амуре государственный университет (КнАГТУ), 2013. — 115 с. — ISBN 978-5-7765-1060-1. Рассмотрены общие вопросы теории статистики и экономической статистики, знание которых необходимо для проведения анализа массивов информации, содержащейся в информационных системах. Подробно излагаются разделы, связанные с группировкой...
Учебное пособие. — М.: Пресс, 2005. — 160 с. — ISBN: 5-94073-087-6. Сжато излагаются основные разделы математической статистики. Подбор материала, объём и глубина его изложения соответствуют программе семестрового курса «Математическая статистика», читаемого авторами студентам факультета управления и прикладной математики Московского физико-технического института вслед за...
Монография. — М.: Московская ордена Ленина сельскохозяйственная академия имени К.А. Тимирязева (МСХА), 1946. — 144 с. Настоящая монография является частью большой работы автора но теории экономических расчетов. При изучении экономических процессов весьма часто приходится иметь дело с разнообразными массовыми явлениями. Объекты экономических исследований — это многомерные...
Томск: Издательство Томского университета, 1974. — 136 с.
Конспект лекций по курсу "Математическая статистика" в том виде и объеме, в котором он читается студентам факультета прикладной математики Томского государственного университета. Может использоваться в качестве учебного пособия по математической статистике также студентами физических факультетов.
Редактор - к.ф.-м.н....
Учебное пособие для студентов экономических направлений. — Бишкек: Киргизско-российский славянский университет (КРСУ), 2014. — 112 с. Данное учебное пособие содержит наиболее важные разделы математической статистики: выборочные методы и числовые характеристики выборки, точечное и интервальное оценивание параметров распределений, проверка статистических гипотез, корреляционный...
Boca Raton: Chapman & Hall/CRC, 2002. — 316 p. Many methods for analyzing clustered data exist, all with advantages and limitations in particular applications. Compiled from the contributions of leading specialists in the field, Topics in Modelling of Clustered Data describes the tools and techniques for modelling the clustered data often encountered in medical, biological,...
Springer, 1986. — 416 p. — (Monographs on Statistics and Applied Probability). — ISBN: 978-94-010-8324-9. Compositional data: some challenging problems. The simplex as sample space. The special difficulties of compositional data analysis. Covariance structure. Properties if matrix covariance specification. Logistic normal distribution on the simplex. Logratio analysis of...
Elsevier, 2003. — 470 p. — ISBN: 9780444513786, 0444513787. The advent of high-speed, affordable computers in the last two decades has given a new boost to the nonparametric way of thinking. Classical nonparametric procedures, such as function smoothing, suddenly lost their abstract flavour as they became practically implementable. In addition, many previously unthinkable...
Academic Press, 1972. — 195 p. For the past ten years, my professional interests have focused on various aspects of regression. It has been my experience that the pseudoinverse is a great unifying concept. It has helped me to understand, remember, and explain many classical results in statistical theory as well as to discover (and rediscover) some new ones. This book was...
Springer, 2015. — 678 p. — (Statistics for Social and Behavioral Sciences). — ISBN 978-1-4939-2124-9. Bayesian inference networks, a synthesis of statistics and expert systems, have advanced reasoning under uncertainty in medicine, business, and social sciences. This innovative volume is the first comprehensive treatment exploring how they can be applied to design and analyze...
Springer, 2021. — 63 p. This book reveals the myriad aspects of Big Data collection and analysis, by defining and clarifying the meaning of Big Data and its unique characteristics in a non-technical and easy-to-follow way. Moreover, it discusses critical issues and problems related to the Big Data revolution and their implications for both Statistics as a discipline and for our...
Springer, 2024. — 381 p. The book discusses various inequalities and sharp bounds for the usual order statistics as well as some functions of them. In particular, deterministic bounds, bounds for the case of IID samples from general, symmetric and life distributions, IID samples from shape restricted family of distributions, and samples from finite populations are all discussed...
New York: Springer, 1995. — 235 p. Asymptotic Theory for the Generalized Bootstrap of Statistical Differentiable Functionals How to Choose the Weights Special Forms of the Bootstrap Proofs of Results of Chapter I Proofs of Results of Chapter II Proofs of Results of Chapter III
New York: Springer, 1994. — 369 p. Preliminaries Some general concepts First-order theory Higher-order theory: preliminaries and motivations Some tools of higher-order theory Higher-order theory: Likelihood combinants Higher-order theory: some further results and tools Various notions of pseudo-likelihood and higher-order theory Further aspects
New York: Springer, 2014. — 535 p. The focus of this book is on the birth and historical development of permutation statistical methods from the early 1920s to the near present. Beginning with the seminal contributions of R.A. Fisher, E.J.G. Pitman, and others in the 1920s and 1930s, permutation statistical methods were initially introduced to validate the assumptions of...
Hershey: Engineering Science Reference, 2021. — 296 p. When it comes to data collection and analysis, ranked set sampling (RSS) continues to increasingly be the focus of methodological research. This type of sampling is an alternative to simple random sampling and can offer substantial improvements in precision and efficient estimation. There are different methods within RSS...
2nd. ed. - CRC Press, 2024. - 565 p. - (Chapman & Hall/CRC Texts in Statistical Science). - ISBN 1032593032. This classic textbook builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and...
World Scientific Publishing Company, 2009. - 412 Pages.
This festschrift is dedicated to Professor Howell Tong on the occasion of his 65th birthday. With a Foreword written by Professor Peter Whittle, FRS, it celebrates Tong's path-breaking and tireless contributions to nonlinear time series analysis, chaos and statistics, by reprinting 10 selected papers by him and his...
New York: Chapman and Hall/CRC, 1996. — 268 p. Large observational studies involving research questions that require the measurement of several features on each individual arise in many fields including the social and medical sciences. This book sets out both the general concepts and the more technical statistical issues involved in analysis and interpretation. Numerous...
John Wiley & Sons, 1950. — 602 p. Analysis of the problems, theory, and design of sampling techniques for social scientists, industrial managers, and others who find statistics increasingly important in their work. Only college algebra assumed. Illustrated with dozens of actual large-scale surveys in government and industry. "The 'bible' of sampling statisticians."
1a ed. — Cengage, 2018 — 342 p. — ISBN: 9786075266633. Fundamentos de probabilidad y estadística cubre de manera específica el plan de estudios del curso a nivel superior. Establece una manera singular de abordar la probabilidad y estadística, ya que introduce al estudiante con amplitud a modelos y métodos mayormente utilizados en sus estudios. El uso de modelos de probabilidad...
Springer, 2001. — 111 p. Density estimation has evolved enormously since the days of bar plots and histograms, but researchers and users are still struggling with the problem of the selection of the bin widths. This book is the first to explore a new paradigm for the data-based or automatic selection of the free parameters of density estimates in general so that the expected...
Springer, 2022. — 68 p. This short book elaborates on selected aspects of stochastic-statistical dependencies in multivariate statistics. Each chapter provides a rigorous and self-contained treatment of one specific topic, poses a particular problem within its scope, and concludes by presenting its solution. The presented problems are not only relevant for research in...
New York: Barron's Educational Series, 1996. — 228 p. This volume will help you recapture the statistics theory you once learned, but has since faded away. The first of the book's two main parts reviews essential statistical concepts. In addition to basic topics, part II is an alphabetical reference section and extensive appendices which include statistical tables for normal,...
Hoboken: Wiley, 2014. - 275 p.
This book summarizes the results of various models under normal theory with a brief review of the literature. Statistical Inference for Models with Multivariate t-Distributed Errors:
Includes a wide array of applications for the analysis of multivariate observationsEmphasizes the development of linear statistical models with applications to...
New York: Academic Press, 1978. — 192 p. Fixed Effects Analysis of Variance covers the mathematical theory of the fixed effects analysis of variance. The book discusses the theoretical ideas and some applications of the analysis of variance. The text then describes topics such as the t-test; two-sample t-test; the k-sample comparison of means (one-way analysis of variance); the...
Springer, 2018. — 158 p. — (Springer Monographs in Mathematics). — ISBN10: 3319962612. The purpose of these notes is to highlight the far-reaching connections between Information Theory and Statistics. Universal coding and adaptive compression are indeed closely related to statistical inference concerning processes and using maximum likelihood or Bayesian methods. The book is...
World Scientific, 1997. – 176 p. – ISBN: 9810218753, 9789810218751 In statistical analysis with large numbers of variables, the invariance approach is becoming increasingly popular and useful because of its ability and usefulness to derive better statistical procedures. In this book, multivariate statistical inference is presented through invariance. Group Invariance Matrices,...
New York: Marcel Dekker, Inc., 1989. — 317 p. Complete with valuable FORTRAN programs that help solve nondifferentiable nonlinear Lp and Linf-norm estimation problems, this important reference/text extensively delineates ahistory of Lp-norm estimation. It examines the nonlinear Lp-norm estimation problem that is a viable alternative to least squares estimation problems where...
Physica, 2000. - 213 pages. ISBN: 3790813001
In the last ten years, there has been increasing interest and activity in the general area of partially linear regression smoothing in statistics. Many methods and techniques have been proposed and studied. This monograph hopes to bring an up-to-date presentation of the state of the art of partially linear regression techniques. The...
New York: Springer, 1997. — 298 p. An exploration of the use of smoothing methods in testing the fit of parametric regression models. The book reviews many of the existing methods for testing lack-of-fit and also proposes a number of new methods, addressing both applied and theoretical aspects of the model checking problems. As such, the book is of interest to practitioners of...
Cham: Springer, 2022. — 141 p. This book provides a coherent description of foundational matters concerning statistical inference and shows how statistics can help us make inductive inferences about a broader context, based only on a limited dataset such as a random sample drawn from a larger population. By relating those basics to the methodological debate about inferential...
Berlin: Walter de Gruyter, 2014. — 286 p. — (De Gruyter Textbook). — ISBN 3110250241. This textbook is devoted to the general asymptotic theory of statistical experiments. Local asymptotics for statistical models in the sense of l ocal asymptotic (mixed) normality or local asymptotic quadraticity make up the core of the book. Numerous examples deal with classical independent...
Independently Published, 2020. — 122 p. — ISBN: 979-8649727648. Regression Analysis is a major coursework for many research and statistics students. Although many know only about simple linear regression analysis, it actually expanded into non-linear regression analysis and multiple linear regression analysis as well. Non linear regression analysis is used for data sets which...
New York: Springer, 2003. — 470 p. An Overview Minimax Distinguishability Sharp Asymptotics. I Sharp Asymptotics. II Gaussian Asymptotics for Power and Besov Norms Adaptation for Power and Besov Norms High-Dimensional Signal Detection
New York: John Wiley & Sons Ltd, 1971. — 312 p. In this book we give a mathematical account of some of the methods of data simplification which are involved in or suggested by the practice of biological taxonomy. The computable methods derived are offered as potentially useful tools for taxonomists, rather than as substitutes for their activities. Superficially similar problems...
New York: Autoedition, 2018. — 309 p. Take a moment to visualize humanity in its entirety, from the earliest humans to the present. How would you characterize the well-being of humanity? Think beyond the latest stories in the news. To help clarify, think about medical treatment, housing, transportation, education, and our knowledge. While there is no denying that we have some...
Cham: Springer, 2022. — 280 p. This book emphasizes the use of stochastic orders as motivational tools for developing new statistical procedures. Stochastic orders have found useful applications in many disciplines, including reliability theory, survival analysis, risk theory, finance, nonparametric methods, economics and actuarial science. Written by a statistician, this...
Amherst: Heinz Kohler, 2021. — 171 p. The academic discipline of Statistics is a branch of mathematics that develops and uses techniques for answering questions that arise in all areas of human endeavor. Medical researchers use them to test the safety and effectiveness of new drugs, devices and procedures or to appraise the effects of lifestyle changes; nutritionists use them...
New York: Springer, 1996. — 237 p. In a close analogy to matching data in Euclidean space, this monograph views parameter estimation as matching of the empirical distribution of data with a model-based distribution. Using an appealing Pythagorean-like geometry of the empirical and model distributions, the book brings a new solution to the problem of recursive estimation of...
Singapore: World Scientific Publishing Company, 2002. — 245 p. Contains several new or unpublished tables, such as one on the significance of the correlation coefficient r, one giving the percentiles of the statistic for monotonic variation, and a table of coefficients for the re-conversion of orthogonal polynomials. Common abbreviations and notations Normal distribution...
New York: Marcel Dekker, 1990. — 154 p. n 1946 Paul Halmos studied unbiased estimators of minimum variance, and planted the seed from which the subject matter of the present monograph sprang. The author has undertaken to provide experts and advanced students with a review of the present status of the evolved theory of U-statistics, and
Manual. — Wrocław: Wrocław University of Technology, 2011. — 128 p. The aim of this book is to build the capacity of applying statistical methods and tools in the professional practice of an engineer. Therefore, the focus is on understanding and the development of relevant skills. This book covers a selection of statistical methods and tools. Their theoretical description is...
Gyldendal Akademisk (January 1, 2016) — ISBN: 978-8741256917 — 472p. An insight into statistics is a comprehensive introduction to probability theory and statistical methods in the social sciences. The book forms the basis for empirical studies within disciplines such as economics, sociology and political science. The practical approach is illustrated by systematic review of...
South Bend: University of Notre Dame Press, 1970. — 287 p. McShane illustrates how classical and statistical procedures complement one another. To arrive at a principle of emergence, he focuses on actual procedures of empirical investigators and the type of explanation they seek. Those doing the relevant sciences—biophysics and biochemistry are his focus in the last four...
Springer, 2022. — 117 p. This book discusses recent theoretical developments in agglomerative hierarchical clustering. The general understanding of agglomerative hierarchical clustering is that its theory was completed long ago and there is no room for further methodological studies, at least in its fundamental structure. This book has been planned counter to that view: it will...
New York: PMPH-USA, 2002. - 230p.
PDQ Statistics, Third Edition offers an expert overview of all major statistical methods, giving the reader a thorough understanding of statistics and how they are used in research articles. The book covers the major categories - variable and descriptive statistics, parametric statistics, non-parametric statistics, and multivariate statistics....
Morgan & Claypool, 2022. — 217 p. — (Synthesis Lectures on Human Language Technologies 54). — ISBN 978-1636392530. Статистические методы анализа аннотаций Labelling data is one of the most fundamental activities in science, and has underpinned practice, particularly in medicine, for decades, as well as research in corpus linguistics since at least the development of the Brown...
Springer, 2018. — 335 p. SIS 2016, Salerno, Italy, June 8-10. This book includes a wide selection of the papers presented at the 48th Scientific Meeting of the Italian Statistical Society (SIS2016), held in Salerno on 8-10 June 2016. Covering a wide variety of topics ranging from modern data sources and survey design issues to measuring sustainable development, it provides a...
Berlin: de Gruyter, 1994. — 388 p. Frontmatter Sufficiency and completeness The evaluation of estimators Mean unbiased estimators and convex loss functions Testing hypotheses Confidence procedures Consistent estimators Asymptotic distributions of estimator sequences Asymptotic bounds for the concentration of estimators and confidence bounds Miscellaneous results on asymptotic...
New York: Springer, 1988. — 224 p. Introduction to the Power-Divergence Statistic Defining and Testing Models: Concepts and Examples Modeling Cross-Classified Categorical Data Testing the Models: Large-Sample Results Improving the Accuracy of Tests with Small Sample Size Comparing the Sensitivity of the Test Statistics Links with Other Test Statistics and Measures of Divergence...
Singapore: World Scientific, 1989. — 95 p. This book describes how model selection and statistical inference can be founded on the shortest code length for the observed data, called the stochastic complexity. This generalization of the algorithmic complexity not only offers an objective view of statistics, where no prejudiced assumptions of "true" data generating distributions...
Springer, 2024. — 385 p. This book continues the mission of the previous text by the author, Lectures on Categorical Data Analysis, by expanding on the introductory concepts from that volume and providing a mathematically rigorous presentation of advanced topics and current research in statistical techniques which can be applied in the social, political, behavioral, and life...
New York: Springer, 2019. — 85 p. Stationarity is a very general, qualitative assumption, that can be assessed on the basis of application specifics. It is thus a rather attractive assumption to base statistical analysis on, especially for problems for which less general qualitative assumptions, such as independence or finite memory, clearly fail. However, it has long been...
European Mathematical Society, 2017. — 162 p. — (Zurich Lectures in Advanced Mathematics 23). — ISBN 978-3-03719-173-6. A classical topic in Mathematical Finance is the theory of portfolio optimization. Robert Merton's work from the early seventies had enormous impact on academic research as well as on the paradigms guiding practitioners. One of the ramifications of this topic...
Springer, 1996. — 249 p. — ISBN: 0387945989.
This book presents a collection of hands-on activities for students taking introductory statistics, and is designed to engage the student as a participant in the learning process. Intended as a lab manual and organized around the major topics covered in most introductory courses, this book contains more activities than can possibly...
Cambridge: Cambridge University Press, 2009. — 400 p. Exact statistical inference may be employed in diverse fields of science and technology. As problems become more complex and sample sizes become larger, mathematical and computational difficulties can arise that require the use of approximate statistical methods. Such methods are justified by asymptotic arguments but are still...
Podręcznik. — Wydanie trzecie, zmienione. — Warszawa: Wydawnictwo Naukowe PWN, 2001. — 312 s. — ISBN: 83-01-12996-4. — (in Polish). Wprowadzenie Przedmiot, metody i organizacja badań statystycznych Opisowa analiza struktury zjawisk masowych Podstawy teorii prawdopodobieństwa i statystyki matematycznej Wnioskowanie statystyczne w analizie struktury Metody analizy współzależności...
New York: John Wiley & Sons (Asia) Pte Ltd, 1982. — 235 p. A course of multivariate analisys. Includes linear algebra, main concepts of multivariate analysis, regression, variance and covariance analysis, principal component, canonical correlations, factor analysis, categorical data, distance and classification, covariance structures.
Springer, 2020. — 119 p. This book provides a self-contained introduction to shrinkage estimation for matrix-variate normal distribution models. More specifically, it presents recent techniques and results in estimation of mean and covariance matrices with a high-dimensional setting that implies singularity of the sample covariance matrix. Such high-dimensional models can be...
98 s. — (in Polish). Niniejsza książeczka powstała na bazie wieloletnich doświadczeń dydaktycznych prowadzenia przedmiotów statystycznych na Warszawskim Uniwersytecie Medycznym. Jej celem jest zebranie podstawowych informacji pojawiających się w trakcie wykładów oraz udostępnienie Studentom zadań i najbardziej niezbędnych tablic statystycznych. Książeczka składa się z...
Oxford: Oxford University Press, 2006. — 292 p. Discrete or count data arise in experiments where the outcome variables are the numbers of individual classified into unique, non-overlapping categories. This revised edition describes the statistical models used in the analysis and summary of such data, and provides a sound introduction to the subject for graduate students and...
Санкт-Петербург: Типография товарищества "Общественная польза", 1872. — 24 с. Лет пятнадцать назад, статистика была у нас чуть-ли не предметом глумления. Это не удивительно: нельзя было серьезно относится к статистике, сочиняемой по фантазии волостного писаря и никем никогда непроверявшейся; статистике того времени никто не верил, хорошо зная ее происхождение. Но в последние...
Учебное пособие. — Уссурийск: Приморская ГСХА, 2017. — 153 с. Учебное пособие включает перечень вопросов, необходимый теоретический минимум, решение основных типов задач, значительный подбор задач и тесты, что позволит эффективно использовать пособие для самостоятельной работы, а также при проведении контролирующих мероприятий по дисциплине (модулю). Для обучающихся очной и...
Методическое пособие. — Брянск: Приокс. книжн. изд-во, 1974. — 71 с. В работе излагаются основные понятия теории вероятностей, математической статистики и элементы теории ошибок. Все теоретические предпосылки сопровождаются примерами и отдельная глава посвящена примерам статистической обработки результатов исследований. Предисловие Основные понятия теории вероятностей и...
Учебное пособие. — Ульяновск: УлГТУ, 2023. — 54 с. Учебное пособие составлено в соответствии с программой курса «Теория вероятностей и математическая статистика» по разделу «Математическая статистика» для бакалавриата инженерно-технических специальностей высших учебных заведений. Приведены статистические методы обработки наблюдений случайных величин: определения типа...
Учебное пособие. — Черкассы: Черкасский инженерно-технологический институт (ЧИТИ), 2001. — 133 с. "Впервые в литературе по математической статистике приводятся сведения и свойства стохастических полиномов и на их основе обосновывается новый метод нахождения оценок параметров случайных величин, названный методом максимизации полинома. Введен класс случайных величин, названный...
МШЭ МГУ, 30 марта 2020. — 41 с. = Равенство средних для независимых выборок Равенство средних при известных дисперсиях Дисперсии неизвестны, но равны Дисперсии неизвестны и не предполагаются равными Доверительный интервал для разности средних = Равенство средних в случае зависимых выборок Доверительный интервал для разности средних = Равенство долей и дисперсий Проверка...
Учебное пособие. — Санкт-Петербург: тип. М.М. Стасюлевича, 1896. — 207 с. Леонид Владимирович Ходский профессор финансового права в С.-Петербургском университете и доцент политической экономии и статистики в Лесном институте. Ближайшее побуждение издать предлагаемое краткое руководство по теории статистики состояло из желания дать моим слушателям печатное пособие вместо...
Учебное пособие. — Санкт-Петербург: типо-литография А.Е. Ландау, 1886. — 440 с. Лекции профессора Юлия Эдуардовича Янсона за 1886-87 гг. Статистика есть наука, изучающая общество настолько широко, насколько это возможно при современных средствах особого метода наблюдения. Цель ее, как и всякой науки, не только констатировать научные факты, но и отыскивать причины существования...
Springer, 2017. — 317 p. — ISBN: 9811027706. This proceedings volume consists of refereed papers presented at the Second International Conference on Computing, Mathematics and Statistics (iCMS 2015) held in Langkawi, Malaysia in November 2015. Divided into three sections - Computer Science, Mathematics and Statistics - the book includes both quantitative and qualitative...
Berlin: Springer, 2011. — 252 p. The main idea of statistical convergence is to demand convergence only for a majority of elements of a sequence. This method of convergence has been investigated in many fundamental areas of mathematics such as: measure theory, approximation theory, fuzzy logic theory, summability theory, and so on. In this monograph we consider this concept in...
ROTEL (Remixing Open Textbooks with an Equity Lens) Project, 2023. — 136 p. Introduction An Overview of Statistics Descriptive Statistics Probability Inferential Statistics: Sampling Methods Significance of Statistical Inference Methods Correlation and Regression Analysis Case Studies
New York: Springer, 2022. — 447 p. Dedicated to one of the most outstanding researchers in the field of statistics, this volume in honor of C.R. Rao, on the occasion of his 100th birthday, provides a bird’s-eye view of a broad spectrum of research topics, paralleling C.R. Rao’s wide-ranging research interests. The book’s contributors comprise a representative sample of the...
Springer, 2013. — 124 p. — (SpringerBriefs in Statistics). — ISBN: 978-3-642-39898-8; ISBN: 978-3-642-39899-5. The existence of missing observations is a very important aspect to be considered in the application of survey sampling, for example. In human populations they may be caused by a refusal of some interviewees to give the true value for the variable of interest....
New York: Chapman and Hall/CRC, 2002. — 181 p. The notion that haphazard variation may arise from a number of sources and that it may be valuable to identify these sources and measure their impact has a long history and many applications and implications. Indeed. it is only in very simple situations that it is likely to be satisfactory to represent haphazard variation by...
Amsterdam: Elsevier B.V, 1993. — 474 p. The contributions in this volume, made by distinguished statisticians in several frontier areas of research in multivariate analysis, cover a broad field and indicate future directions of research. The topics covered include discriminant analysis, multidimensional scaling, categorical data analysis, correspondence analysis and biplots,...
Cham: Springer, 2022. — 88 p. This book discusses important applications of the Behrens-Fisher statistic and the False Discovery Rate (FDR). Covered applications include ANOVA and MANOVA under potentially non-normal errors and heteroscedasticity; and an intuitive method of analyzing s x r contingency tables when the column variable is ordinal. This book also explores the novel...
Springer, 1983. — 215 p.
During the last decades, the evolution of theoretical statistics has been marked by a considerable expansion of the number of mathematically and computationaly tractable models. Faced with this inflation, applied statisticians feel more and more uncomfortable: they are often hesitant about their traditional (typically parametric) assumptions. such as...
Wydanic czwarte uzupełnione. — Warszawa: Państwowe Wydawnictwo Naukowe, 1974. — 364 s. — (in Polish). Statystyka matematyczna znajduje zastosowanie prawie we wszystkich gałęziach wiedzy. Autor dostarcza studentom oraz praktykom, możliwie pełnego zbioru gotowych zadań dotyczących wnioskowania statystycznego. Estymacja przedziałowa parametrów Parametryczne testy istotności...
Springer US, 2000. — 301 p. This book will provide research workers and graduate students with a cross-section of innovative work in the fields of matrix methods and multivariate statistical analysis. It should be of interest to students and practitioners in a wide range of subjects which rely upon modern methods of statistical analysis. The contributors to the book are...
Przelozyla M.Zakrzewska. — Redakcja naukowa wydania polskiego J.Brzezinski. — Warszawa: Wydawnictwo Naukowe PWN, 2009. — 682 p. — ISBN 978-83-01-15907-8. Czwarte wydanie [pierwsze polskie] książki pod tytułem Statystyka dla psychologów i pedagogów powstało przede wszystkim z myślą o takim poszerzaniu wiedzy czytelników, które odbywa się poprzez pojmowanie omawianych problemów....
Berlin: Springer, 1991. — 202 p. — ISBN: 9780387539010, 0387539018. In each chapter of this volume some specific topics in the econometric analysis of time series data are studied. All topics have in common the statistical inference in linear models with correlated disturbances. The main aim of the study is to give a survey of new and old estimation techniques for regression...
Singapore: Springer, 2018. — 144 p. This book integrates the fundamentals of asymptotic theory of statistical inference for time series under nonstandard settings, e.g., infinite variance processes, not only from the point of view of efficiency but also from that of robustness and optimality by minimizing prediction error. This is the first book to consider the generalized...
London: Academic Press, 1971. — 210 p. This book has its origin in a set of notes on basic statistical ideas and techniques which I wrote in 1968 while a member of the Theoretical Physics Group at Brookhaven National Laboratory. In rewriting those notes, I have taken the opportunity to extend the discussion of some topics, and to include several new ones, with the result that...
Springer, 2023. — 500 p. This book presents recent developments in multivariate and robust statistical methods. Featuring contributions by leading experts in the field it covers various topics, including multivariate and high-dimensional methods, time series, graphical models, robust estimation, supervised learning and normal extremes. It will appeal to statistics and data...
Boca Raton: CRC Press, 2015. — 281 p. Experimentation Hierarchical data structures Research design Power analysis for experimental research Aim and contents of the book Multilevel statistical models The basic two-level model Estimation and hypothesis test Intraclass correlation coefficient Multilevel models for dichotomous outcomes More than two levels of nesting Software for...
Old Main: University of Pennsylvania, 2005. — 64 p. In this thesis we will start by introducing the combinatorial formula for the Macdonald polynomial. We then show how cocharge arises naturally from this formula. Expanding these methods to compositions, we see how an alternative description of cocharge arises naturally from the combinatorial statistics used in the formula for the...
Podręcznik. — Wydanie 7. — Wrocław: Wydawnictwo Uniwersytetu Ekonomicznego im. Oskara Langego, 2011. — 456 s. — (in Polish). Podręcznik jest przeznaczony przede wszystkim dla słuchaczy studiów ekonomicznych (dziennych i zaocznych). Mogą z niego korzystać również studenci kursów statystyki innych kierunków. Podręcznik składa się z 12 rozdziałów. Zakres materiału obejmuje statystykę...
Springer, 2016. — 105 p. This book discusses the problem of model choice when the statistical models are separate, also called nonnested. Chapter 1 provides an introduction, motivating examples and a general overview of the problem. Chapter 2 presents the classical or frequentist approach to the problem as well as several alternative procedures and their properties. Chapter 3...
New York: Springer, 1990. — 115 p. — (Lecture Notes in Statistics 63). — ISBN: 978-1-4612-3396-1. Assume one has to estimate the mean J x P( dx) (or the median of P, or any other functional t;;(P)) on the basis ofi.i.d. observations from P. Ifnothing is known about P, then the sample mean is certainly the best estimator one can think of. If P is known to be the member of a...
D. Reidel Publishing, 1984. — 176 p. — ISBN: 9789027720764, 9027720762. This volume contains most of the invited and contributed papers presented at the Conference on Robustness of Statistical Methods and Nonparametric Statistics held in the castle oj'Schwerin, Mai 29 - June 4 1983. This conference was organized by the Mathematical Society of the GDR in cooperation with the...
Boston: The MIT Press, 2014. — 252 p. Sparse modeling is a rapidly developing area at the intersection of statistical learning and signal processing, motivated by the age-old statistical problem of selecting a small number of predictive variables in high-dimensional data sets. This collection describes key approaches in sparse modeling, focusing on its applications in such...
ITexLi, 2024. — 98 p. — ISBN 0854667660 9780854667666 0854667679 9780854667673 0854667687 9780854667680. With this book one can unlock the full potential of experimental designs. This comprehensive guide delves into the complexity of Response Surface Methodology (RSM), offering both foundational theories and cutting-edge applications. This book provides novices and experienced...
Podręcznik. — Wydanie piate, uzupelnione. — Warszawa: Wydawnictwo Naukowe PWN, 2017. — 312 s. — ISBN 978-83-01-15199-7. — (in Polish). Wprowadzenie. Przedmiot, metody i organizacja badań statystycznych. Opisowa analiza struktury zjawisk masowych. Podstawy teorii prawdopodobieństwa i statystyki matematycznej. Wnioskowanie statystyczne w analizie struktury. Metody analizy...
Heidelberg: Physica-Verlag, 2006. — 184 p. — (Contributions to Statistics). — ISBN: 978-3790817010. This selection of articles has emerged from different works presented at the conference ''The Art of Semiparametrics'' celebrated in 2003 in Berlin. The idea was to bring together junior and senior researchers but also practitioners working on semiparametric statistics in rather...
Podręcznik. — Rzeszów: Oficyna Wydawnicza Politechniki Rzeszowskiej, 2000. — 150 s. — ISBN: 83-7199-146-0. — (in Polish). Matematyka dla studentów Politechniki Rzeszowskiej. Prawdopodobieństwo Teoria korelacji Statystyka Weryfikacja hipotez Tablice statystyczne
New York: A K Peters/CRC Press, 2000. — 401 p. Statistical Parameters is a unique new guide to current statistical methods and research. Based on a series of interdisciplinary lectures for users of statistical methods in research and development, this book provides insights into data acquisition and statistical interpretation. The author discusses practical problems in a...
Springer, 2017. — 267 p. This book presents contributions and review articles on the theory of copulas and their applications. The authoritative and refereed contributions review the latest findings in the area with emphasis on “classical” topics like distributions with fixed marginals, measures of association, construction of copulas with given additional information, etc. The...
New York: Springer, 2005. — 421 p. Wim van der Linden was just given a lifetime achievement award by the National Council on Measurement in Education. There is no one more prominent in the area of educational testing. There are hundreds of computer-based credentialing exams in areas such as accounting, real estate, nursing, and securities, as well as the well-known admissions...
Springer, 2015. — 232 p. — ISBN: 978-3531171180 Was sind Multivariate Verfahren? Wozu dienen sie, wie werden sie richtig eingesetzt? Das Buch liefert einen fundierten Überblick über diese wichtige Klasse von Verfahren, die in der Psychologie und den Sozialwissenschaften zunehmend an Bedeutung gewinnt. So werden einerseits die vielfältigen Möglichkeiten dieser Methoden...
Springer, 2022. — 99 p. Latent factor analysis models are an effective type of machine learning model for addressing high-dimensional and sparse matrices, which are encountered in many big-data-related industrial applications. The performance of a latent factor analysis model relies heavily on appropriate hyper-parameters. However, most hyper-parameters are data-dependent, and...
Учебное пособие. — Волгоград: ВПИ, 2010. — 159 с.: ил. Учебное пособие содержит необходимый теоретический материал и большое количество примеров и задач, иллюстрирующих основные понятия по учебной дисциплине “Математическая статистика”. Разработаны варианты семестровых заданий. Рассчитано на студентов различных форм обучения высших учебных заведений всех специальностей и...
Новосибирск.: СГГА. 2009. — 65 с. Пособие подготовлено на кафедре высшей математики Сибирской государственной геодезической академии старшими преподавателями В.П. Вербной и Л.А. Модной. Предназначено для студентов 2-го курса ИКиГИС, ИОиОТ дневной формы обучения и для студентов всех специальностей вечерней и заочной форм обучения. Содержит краткий теоретический курс, примеры...
Киев: типография И. Вальнера, 1846. — 210 с. О нынешнем состоянии статистики вообще и о приложении ее к некоторым общественным вопросам Об источниках статистических сведений в России Замечания о теоретическом образовании статистики, как науки, и о средствах устроить ее основания
Учебное пособие. — Казань: Типо-литография Н.М. Чижовой, 1909. — 199 с. Лекции Николая Алексеевича Каблукова (1849 — 1919) русского экономиста, земского статистика, доктора политической экономии и статистики, ординарного профессора Московского университета. Статистическое наблюдение. Значение и задачи статистики. Приемы и наблюдения, близкие к статистическому. Источники...
3-е, в главных частях совершенно переработанное, издание. — Москва: Г.А. Леман и С.И. Сахаров, 1916. — 646 с. Настоящее руководство рассчитано, главным образом, на двоякий круг читателей: прежде всего — на учащуюся молодежь, изучающую теорию статистики в составе курса общественно-юридических наук; затем, на людей, практически работающих или собирающихся работать на богатой и...
Учебное пособие. — В двух частях. — Саратов: Саратовский государственный университет имени Н.Г. Чернышевского (СГУ), 2013. — 54 с. Учебное пособие для студентов заочного отделения механико-математического факультета. В пособии излагаются основные идеи и методы математической статистики, рассматривается точечное и интервальное оценивание, методы нахождения оценок и построения...
Навчальний посібник. — Одеса: ОНАЗ ім. О.С. Попова, 2019. — 110 с. Навчальний посібник призначений для фахівців у галузі зв'язку. Висвітлено наступні теми: Вибірковий метод дослідження; Статистичні оцінки параметрів розподілу; Перевірка статистичних гіпотез.
Chinese version of the original book: John A. Rice, Mathematical Statistics and Data Analysis, 3rd ed. 《数理统计与数据分析(原书第3版)》将现代统计学的重要思想引入数理统计课程中，强调了数据分析、图形工具和计算机技术，并注重统计的实务和应用. 本书内容丰富，几乎涵盖了所有经典和前沿的概率论与数理统计理论和方法，主要包括概率、随机变量、联合分布、期望、极限定理、抽样调查、参数估计、假设检验、数据汇总、两样本比较、方差分析、分类数据分析和线性最小二乘等。 《数理统计与数据分析(原书第3版)》用真实数据分析了实际问题，以此增强读者对理论的理解；作者将自助方法与传统的推论性过程结合起来，增加了蒙特卡罗方法....
Thomson Brooks/Cole, 1990. — 792 p. A fresh, less formal treatment of classical theoretical probability and statistics is written at an accessible level, with a Bayesian flavor and an emphasis on data and interesting applications. It is designed for the two-term calculus-based mathematical statistics course at the junior level.
New York: Springer, 1992. — 217 p. A large number of papers have appeared in the last twenty years on estimating and predicting characteristics of finite populations. This monograph is designed to present this modern theory in a systematic and consistent manner. The authors' approach is that of superpopulation models in which values of the population elements are considered as...
Stalowa Wola: Wydawnictwo Diecezjalne, 2016. — 92 s. — ISBN 978-83-61307-31-0. Publikacja ta jest skierowana do studentów różnych kierunków studiów I lub II stopnia uczących się na początkowych latach statystyki i pragnących utrwalić, powtórzyć i usystematyzować swoją wiedzę i umiejętności w zakresie tego przedmiotu na studiach wraz z koniecznym przypomnieniem ze szkoły...
Beachwood: Institute of Mathematical Statistics, 2007. — 265 p. Curriculum Vitae of Piet Groeneboom List of publications of Piet Groeneboom List of Contributors A Kiefer–Wolfowitz theorem for convex densities Model selection for Poisson processes Scale space consistency of piecewise constant least squares estimators – another look at the regressogram Confidence bands for convex...
Springer International Publishing AG, 2018. — 57 p. — (IIW Collection) — ISBN: 978-3-319-62658-1. The quantification of the performances of a Non-Destructive Technique (NDT) is essential to guarantee the safety of critical industrial components. Two main indicators are commonly used: • Reliability: the ability of the technique to detect defects under realistic conditions of...
Springer, 2003. — 235 p. — (Lecture Notes in Statistics, 176). — ISBN: 0-387-40263-2, ISBN: 978-0-387-21664-5. This is the first book on the concept and applications of ranked set sampling. It provides a comprehensive review of the literature, and it includes many new results and novel applications. Scientists and researchers on this subject will find a balanced presentation of...
Educational and methodical manual. — Minsk: Belarusian National Technical University, 2022. — 83 p. — ISBN 978-985-583-820-4. This educational and methodological manual is intended for university students studying mathematical statistics; it can be used by graduate students, undergraduates, engineers to calculate statistical data of any structure. The manual includes...
Berlin: Springer, 2014. — 113 p. This book presents a concise introduction to Bartlett and Bartlett-type corrections of statistical tests and bias correction of point estimators. The underlying idea behind both groups of corrections is to obtain higher accuracy in small samples. While the main focus is on corrections that can be analytically derived, the authors also present...
John Wiley & Sons, 1960. — 517 p. Sets forth the theory and practice of sampling designs and presents methods for sampling. This classic also provides standards of professional statistical practice and discusses concepts and operational definitions.
New York: J. Wiley & Sons, inc.; London, Chapman & Hall, 1943. — x, 261 p. diagrs. Introduction to basic statistical concepts and to concept of "adjustment" also covers solution by least squares of more complicated problems and takes into account the propagation of error, general problem of least squares, and conditions without parameters. 26 exercises. Author's Preface....
New York: Chapman and Hall/CRC, 2003. — 384 p. Balancing the "cookbook" approach of some texts with the more mathematical approach of others, Nonparametric Statistical Methods for Complete and Censored Data introduces commonly used non-parametric methods for complete data and extends those methods to right censored data analysis. Whenever possible, the authors derive their...
John Wiley & Sons, 1984. — 367 p. This book gives a rigorous, systematic treatment of density estimates, their construction, use and analysis with full proofs. It develops L1 theory, rather than the classical L2, showing how L1 exposes fundamental properties of density estimates masked by L2. The book examines results in simulation, pattern recognition, detection theory, and...
Wiley, 1959. — 224 p. The sampling inspection tables presented in this book were developed for use in the manufacture of communication apparatus and equipment for the Bell Telephone System. It assembles under one cover the three papers of original publication and adds a brief introduction. The papers have been reproduced with no modifications but the material has been...
Saugatuck: The Eno Foundation for Highway Traffic Control, 1952. — 238 p. Excerpt from Statistics With Applications to Highway Traffic Analyses. It has been a privilege for the Eno Foundation to provide the preparation and publication of this monograph. Publication has resulted from considerable time and effort by both authors and the Foundation Staff.
London: Charles and Edwin Layton, 1906. — 198 p. Originally published in 1906 by C. & E. Layton, Limited, this work, with its many later improvements, became a standard textbook on curve-fitting and was several times reissued. Introductory Frequency Distributions Method of Moments. Frequency-Curves Calculation Correlation The Correlation of Characters quantitatively measurable...
2nd ed. — London: The English Universities Press Ltd., 1960. — 240 p. — (Teach Yourself Books). It is the aim of this book to help those who have to teach themselves some Statistics to an understanding of some of the fundamental ideas and mathematics involved. Once that has been acquired, problems of application arc the more readily and successfully tackled. For this reason,...
Oxford: Oxford University Press, 2008. — 144 p. Statistical ideas and methods underlie just about every aspect of modern life. Sometimes the role of statistics is obvious, but often the statistical ideas and tools are hidden in the background. In either case, because of the ubiquity of statistical ideas, it is clearly extremely useful to have some understanding of them. The aim...
Podręcznik. — Wydanie trzynaste. — Warszawa: Wydawnictwo Naukowe PWN, 1998. — 312 s. — ISBN: 83-01-02137-3. (in Polish). Niniejsza książka jest kolejnym wydaniem podręcznika podstaw rachunku prawdopodobieństwa i statystyki matematycznej w ujęciu elementarnym. Zawiera także teorię regresji i korelacji oraz podstawy analizy procesów stochastycznych. Przystępny, zwięzły wykład...
Chichester: Halsted Press, 1986. — 188 p. — ISBN-13 9780470202722. — ISBN-10 0470202726. This book will meet a demand created by the recent increase in the number of social surveys undertaken, and the new emphasis on statistical analysis of surveys by computers; and by a corresponding increase in courses being taught in relevant subject matter. The book describes statistical...
New York: Springer, 1993. — 206 p. A General Linear Mixed Model First Order Autoregressive Errors State Space Representations The Laird-Ware Model in State Space Form Autoregressive Moving Average Errors Nonlinear Models Multivariate Models
Podręcznik. — Warszawa: Wydawnictwo Naukowo-Techniczne, 2001. — 246 s. — ISBN 83-204-2684-7. — (in Polish). Książka, jest nowoczesnym podręcznikiem statystyki. Jej pierwsza część (wstępna analiza danych, przejście od modelu probabilistycznego do wnioskowania-statystycznego, podstawy wnioskowania statystycznego oraz analiza regresji) może być podstawą jednosemestralnego kursu...
Wydanie 7. — Warszawa: Wydawnictwo Naukowe PWN, 1999. — 256 s. — ISBN: 83-01-05928-1. — (in Polish). Kolejne wydanie dobrze znanego studentom dwuczęściowego podręcznika. Każdy rozdział składa się z podstawowych definicji i twierdzeń, rozwiązanych przykładów o wzrastającym stopniu trudności oraz zadań do samodzielnego wykonania. Na końcu rozdziału znajdują się odpowiedzi do...
Wydanie 6. — Warszawa: Wydawnictwo Naukowe PWN, 1999. — 326 s. — ISBN: 83-01-11384-1. — (in Polish). Kolejne wydanie dobrze znanego studentom dwuczęściowego podręcznika. Każdy rozdział składa się z podstawowych definicji i twierdzeń, rozwiązanych przykładów o wzrastającym stopniu trudności oraz zadań do samodzielnego wykonania. Na końcu rozdziału znajdują się odpowiedzi do...
Bilbao: Euskal Herriko Unibertsitatea, Argitalpen Zerbitzua, 2017. — 228 orr. — ISBN 978-84-9082-636-2. Estatistika arduratzen da datuen bilketaz, antolaketaz eta interpretazioaz. Horretarako, arlo guztiak jorratzen ditu: datu-bilketaren planifikazioatik hasita, esperimentuen diseinuan eta laginketan ere parte hartzen du. Iragarpenak egiteko ere erabil daitezke estatistikan...
2nd Edition. — Springer, 2007. — 448 p. — (Springer Series in Statistics). — ISBN: 0387698116. This is the second edition of the comprehensive treatment of statistical inference using permutation techniques. It makes available to practitioners a variety of useful and powerful data analytic tools that rely on very few distributional assumptions. Although many of these procedures...
Springer, 2008. — 523 p. Nature didn’t design human beings to be statisticians, and in fact our minds are more naturally attuned to spotting the saber-toothed tiger than seeing the jungle he springs from. Yet scienti?c discovery in practice is often more jungle than tiger. Those of us who devote our scienti?c lives to the deep and satisfying subject of statistical inference...
Berlin: Springer, 2013. — 269 p. Statistics has been a main tool in almost every field of activity and an essential part of applied scientific work, supporting conclusions and offering insights into new uses for established methodologies, thus making it a valuable resource in looking for faceless facts. Model construction describing populations or phenomena subject to...
Warszawa: Uniwersitet Warszawski, 2003. — 121 s. Przedmowa. Podstawowe wiadomości z rachunku prawdopodobieństwa. Uwagi o doświadczeniu losowym, zbiorach mierzalnych i mierzę Lebesgue'a. Definicja prawdopodobieństwa- prawdopodobieństwo a priori i a posteriori Prawdopodobieństwo częstościowe. Aksjomatyczna definicja prawdopodobieństwa. Prawdopodobieństwo warunkowe....
Springer, 2015. — 367 p. — (Studies in Fuzziness and Soft Computing 323). — ISBN: 978-3-319-18605-4. This book, which goes far beyond a traditional collection of technical articles, is dedicated to Enric Trillas, a fuzzy systems pioneer but also an internationally renowned researcher in other areas of science, such as mathematics and aerospace, and an outstanding manager of...
Oxford: Oxford University Press, 2001. — 92 p. This book provides an introduction to the modern theory of likelihood-based statistical inference. This theory is characterized by several important features. One is the recognition that it is desirable to condition on relevant ancillary statistics. Another is that probability approximations are based on saddlepoint and closely...
4th ed. — Boston: Allyn and Bacon, 1994. — xi, 516 p. Although, as with any new edition, significant changes and additions have been incorporated into this fourth edition of Basic Statistical Analysis, the major coverage remains much the same. In fact, for readers of past editions, this new version may seem, as Yogi Berra once said, like experiencing "deja vu all over again."...
New York, Cleveland, Indianapolis: Cliffs Notes, Hungry Minds, 2001. — VI, 154 p. CliffsQuickReview course guides cover the essentials of your toughest classes. Get a firm grip on core concepts and key material, and test your newfound knowledge with review questions. CliffsQuickReview Statistics introduces you to the fascinating world of statistics — a powerful tool used for...
Podręcznik. — Warszawa: Difin, 2015. — 370 s. — ISBN: 978-83-7930-351-9. Książka ta adresowana jest do studentów kierunków ekonomicznych, społecznych, jak również wszystkich tych, na których realizowany jest przedmiot „statystyka” lub „statystyka matematyczna”. Może być ona także przydatna praktykom, którzy posługują się bądź planują posługiwać się metodami statystycznymi. W...
Учебно-методическое пособие. — Горки: Белорусская государственная сельскохозяйственная академия, 2019. — 75 с. — ISBN: 978-985-467-950-1. Приведены краткий теоретический материал по теме «Математическая статистика», задания для аудиторных и домашних занятий и список рекомендуемой литературы. Для студентов учреждений высшего образования, обучающихся по специальности 1-74 01 01...
Учебно-методическое пособие. — Минск: Белорусский государственный медицинский университет (БГМУ), 2013. — 108 с. Рассматриваются основы математической статистики. Материалы последовательно раскрывают содержание основного раздела программы курса «Высшая математика» для студентов фармацевтического факультета. Теоретические положения поясняются иллюстрациями и примерами,...
Москва: Эксмо, 2018. — 179 c. — (Бизнес в комиксах). — ISBN: 978-5-04-090149-4. Демографическая статистика против математической, вероятности, выборки, популяции, "жизненная статистика" Уильяма Фарра и математическая Карла Пирсона... — в этом комиксе обзор истории, философии, основные концепции и то, как они связаны с реальными проблемами. Решения, основанные на статистике,...
Харьков : Университетская типография, 1841. - 145 с. Издаваемое мною сочинение состоит из двух частей. Первая из них, составляющая введение в курс, заключает решение вопроса: Наука ли Статистика. Вторая же часть посвящена изложению Системы Науки, с присовокуплением краткого Статистического Очерка, важнейших Государств Европы.
Учебное пособие. — СПб.: Балтийский государственный технический университет (БГТУ) имени Д.Ф. Устинова "Военмех", 2018. — 45 с. Рассмотрены основные методы статистического исследования: статистическое наблюдение, сводка и группировка, исследование рядов распределения, выборочный метод, корреляционно-регрессионный анализ. Предназначено для студентов всех форм обучения...
Springer, 2005. — 208 p. There are a variety of combinatorial optimization problems that are relevant to the examination of statistical data. Combinatorial problems arise in the clustering of a collection of objects, the seriation (sequencing or ordering) of objects, and the selection of variables for subsequent multivariate statistical analysis such as regression. The options...
Dąbrowa Górnicza: Triada, 2000. — 94 s. — ISBN: 83-909136-90. — (in Polish). Wyzsza Szkoła Biznesu w Dąbrowie Górniczej. Jest trochę prowokacji i kokieterii w przyjęciu za motto oferowanego Czytelnikom zbioru zadań, przykładów i wzorów tych właśnie słów zacnego i wybitnego polskiego logika i filozofa, rektora Uniwersytetu we Fryburgu Bryzgowijskim. Niezależnie od tego czy autor...
9. Auflage. — Springer, 2024. — 665 S. Dieses Lehrbuch liefert eine umfassende Darstellung der deskriptiven und induktiven Statistik sowie moderner Methoden der explorativen Datenanalyse. Dabei stehen inhaltliche Motivation, Interpretation und Verständnis der Methoden im Vordergrund. Unterstützt werden diese durch zahlreiche Grafiken und Anwendungsbeispiele, die auf realen...
The University of Connecticut, 1997. — 115 p. In these lectures we propose to study first order consistency of the bootstrap in the simple but important case of the mean, taken in a general sense (including e.g. the Kolmogorov–Smirnov statistic since the distribution function F(x) is the mean of the process IX≤x, x ∈ R). Chapter 1 will be devoted to the bootstrap of the mean in...
Warszawa: Wyzsza Szkoła Handlowa w Warszawie, 1928. — 100 s. — (in Polish) Statystyka matematyczna dział statystyki, używający teorii prawdopodobieństwa i innych działów matematyki do rozwijania statystyki z czysto matematycznego punktu widzenia. Zajmuje się metodami wnioskowania statystycznego, które polegają na tym, że na podstawie wyników uzyskanych z próby formułujemy...
Sochaczew: Wyższa Szkoła Zarządzania i Marketingu (WSZiM), 2003. — 99 s. Monografia przeznaczona dla studentów bibliotekoznawstwa oraz pracowników naukowych i bibliotekarzy. Statystyka w działalności bibliotek.
Podręcznik. — Wydanie zmienione i uzupełnione. — Poznań: Wyższa Szkoła Bankowa, 2004. — 231 s. — ISBN 83-7205-204-2. W podręczniku Statystyka. Teoria i zastosowanie, opracowanym w ujęciu deterministycznym, Autorki ukazuję metody procesu badania statystycznego umożliwiające wykrywanie prawidłowości struktury, współzależności i dynamiki zjawisk masowych. W celu egzemplifikacji...
Berlin: Humboldt-Universität zu Berlin, 2008. — 165 S. Vorlesung im Sommersemester 2008. Grundlagen der Statistik. Spezielle Verteilungen einer Variablen. Verteilungen mehrerer Variablen. Stichproben und Schätzungen. Monte-Carlo-Methoden. Die Maximum-Likelihood-Methode. Methode der kleinsten Quadrate. Signifikanzanalysen. Klassifikation und statistisches Lernen.
Podręcznik. — Warszawa: Polskie Wydawnictwo Ekonomiczne, 1998. — 173 s. — ISBN 83-208-1156-2. Wprowadzenie do problematyki wnioskowania statystycznego Zasadnicza różnica między metodami opisu wnioskowania statystycznego Prawdopodobieństwo zdarzenia losowego Prawa wielkich liczb Zmienne losowe oraz ich rozkłady teoretyczne Podstawowe właściwości rozkładu normalnego Kilka uwag o...
University of Cambridge, 2017. — 67 p. Introduction Classical statistics Kernel machines Ridge regression v-fold cross-validation The kernel trick Making predictions Other kernel machines Large-scale kernel machines The Lasso and beyond The Lasso estimator Basic concentration inequalities Convex analysis and optimization theory Properties of Lasso solutions Variable selection...
Vorlesungsfolien. — 989 S. Vorlesungsfolien zum Lehrbuch "Statistik - Grundlagen und Methodik" von Stocker T.C. und Steinke I. (2022). Einführung in die Statistik Deskriptive Statistik − Empirischer Kalkül Einführung in die deskriptive Statistik Spezifizierende Beschreibung empirischer Verteilungen Beschreibung und Analyse empirischer Zusammenhänge Wahrscheinlichkeitsrechnung −...
Podręcznik. — Białystok: Politechnika Białostocka, 2018. — 212 s. — ISBN 978-83-65596-66-6. Niniejsza książka jest przede wszystkim podręcznikiem akademickim dla studentów tych kierunków studiów dziennych i zaocznych, na których obowiązuje minimalna liczba godzin obowiązkowych ze statystyki. Książka obejmuje materiał podstawowy ze statystyki opisowej, od którego zaczyna się...
М.: ДМК Пресс, 2015. — 586 с. — ISBN: 978-5-94074-969-1. Нужно овладеть статистикой по долгу службы? Хотите получить помощь при сдаче курса статистики? "Статистика для всех" - ясное и краткое введение и руководство для всех новичков. Тщательно переработанное и расширенное, это издание поможет вам глубоко понять статистику, избегая ошеломляющей сложности многих университетских...
Учебник для вузов. — Под ред. В. С. Зарубина, А. П. Крищенко. — М.: Изд-во МГТУ им. Н. Э. Баумана, 2001. — 424 с. — (Математика в техническом университете; Вып. XVII). — ISBN 5-7038-1730-7. Предлагаемая книга, выпущенная в серии "Математика в техническом университете", знакомит читателя с основными понятиями математической статистики и некоторыми из ее приложений. Ее...
Ростов на Дону: Государственное издательство, Ростовское на Дону отделение, 1923. — 16 с. Теория статистики и общая государственная статистика Демографическая статистика Моральная статистика Экономическая статистика
Учебно-методическое пособие. — Бишкек: Кыргызско-Российский Славянский университет, 2016. — 112 с. В пособии рассматривается фундамент математической статистики — описание данных. В нем содержатся краткие теоретические сведения и образцы решений большого числа примеров, позволяющих студентам понять важность статистических исследований. Для студентов инженерно-технических...
М.: Манн, Иванов и Фербер, 2017. — 235 с. Не только полезный, но и веселый курс базовой статистики. Автор и иллюстратор объясняют сложные понятия на простых и забавных примерах, доказывая, что статистика – вокруг нас. Прочитав эту книгу, вы научитесь собирать данные, делать выборки и проверять гипотезы по любой проблеме – будь то решение о покупке новой машины или подсчет степени...
7-е изд. — М.: Лаборатория знаний, 2019 — 475 c. — (Учебное пособие). — ISBN: 978-5-00101-642-7. Основы теории вероятностей и математической статистики излагаются в форме примеров и задач с решениями. Книга также знакомит читателя с прикладными статистическими методами. Для понимания материала достаточно знания начал математического анализа. Включено большое количество...
Учебное пособие. 2-е издание. — М.: Бином. Лаборатория знаний, 2009. — 472 с.: ил.
Основы теории вероятностей и математической статистики излагаются в форме примеров и задач с решениями. Книга также познакомит читателя с прикладными статистическими методами. Для понимания материала достаточно знания начал математического анализаю Включено большое количество рисунков,...
Ақтөбе: Қ. Жұбанов атындағы Ақтөбе өңірлік мемлекеттік университеті, 2010. — 99 б. Дәрістер жинағында статистиканың жалпы теориясынан негізгі тақырыптар орын алған; оқу құралы жоғары білімді мамандарды оқытуда оқу үрдісінде пайдалануға арналады.
Оқулық. — Алматы: Алматы технологиялық университетінің, 200З. — 221 бет. — ISBN 9965-541-44-2. Берілген оқу құралында тәжірибеліқ мәліметтерді өңдеп, статистикалық талдаудың кейбір әдістері берілген. Осы негізде бір факторлы және көп факторлы тәжірибелер жоспарларына маңызды талаптар қойылады. Микробиологиялық өндірісте технологиялық процестердегі тәжірибелерді жоспарлау мен...
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