Basic Books, 2019. — 448 р. 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 ostentatious embellishments from the...
Pelican Book, 2019. — 448 p. — ISBN: 978-0241398630. Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more...
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...
Dover Publications, 1979. — 259 p. — (Dover Books on Mathematics). — ISBN: 0486637603, 9780486637600
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...
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...
Adams Media, 2018. — 240 р. — (Adams 101). — ISBN: 978-1507208175. A comprehensive guide to statistics—with information on collecting, measuring, analyzing, and presenting statistical data—continuing the popular 101 series. Data is everywhere. In the age of the internet and social media, we’re responsible for consuming, evaluating, and analyzing data on a daily basis. From...
11 Edition. — NY, USA: Barrons, 2020. — 696 p. — (Barron’s Educational Series). — ISBN: 978-1-5062-6355-7. Barron's AP Statistics has in-depth content review, practice tests, and expert explanations to help students feel prepared on test day. This edition includes: Five full-length practice tests in the book One diagnostic test to identify strengths and weaknesses so students...
Lulu.com, 2017. — 244 p. — ISBN-13 9781326606787. 'Mathematics and Statistics in Biology, Psychology and Chemistry' comes as the third in the series, following in the footsteps of 'Easy as You Go!" and 'A-Star Question Bank. It fills the vacuum which exists, being caused by the apparent difficulty in professional Biologist, Psychologist and Chemist to effectively teach the...
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...
2nd Edition. — Springer, 2022. — 584 p. — ISBN 978-3-031-11832-6. Now in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. This revised...
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...
12th edition. — Pearson 2017. — 648 p. — ISBN: 9780134080628, ISBN: 9780134080772. 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...
3rd edition. — McGraw-Hill, 2022. — 656 p. — ISBN 978-1-260-59820-9. Essential Statistics, 3e is designed for an introductory course in statistics. The mathematical prerequisite is basic algebra. In addition to presenting the mechanics of the subject, the authors have endeavored to explain the concepts behind them in a straightforward, clear, and engaging writing style. As...
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...
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...
Springer, 2017. — 415 p. — ISBN10: 9811067031, 13 978-9811067037. This book reports on the latest advances in concepts and further developments of principal component analysis (PCA), addressing a number of open problems related to dimensional reduction techniques and their extensions in detail. Bringing together research results previously scattered throughout many scientific...
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...
2nd Ed. — Project MOSAIC Books, 2017. — 349 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...
4th edition. — Boca Raton: CRC Press, 2017. — 648 p. 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. Preliminaries. Probability. Random Variables. Expectations. Limit Theorems. Some Parametric Families. Sampling and the Reduction of Data....
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. Additionally, the...
Boca Raton: CRC Press, 1997. — 191 p. Interpreting statistical data as evidence, Statistical Evidence: A Likelihood Paradigm focuses on the law of likelihood, fundamental to solving many of the problems associated with interpreting data in this way. Statistics has long neglected this principle, resulting in a seriously defective methodology. This book redresses the balance,...
Independently published, 2022-10-14. — 224 p. — ISBN-13: 979-8358180710. 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...
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...
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...
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...
Independently published, 2021. — 184 p. — (Statistics: A Universal Guide to the Unknown, 1). — ASIN B08ZQKCM9G. 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...
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...
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...
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...
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...
Dover Publications, Inc., 2013. — 224 p. — ISBN13: 978-0-486-61579-0. In 1943, while in charge of Columbia University's Statistical Research Group, Abraham Wald devised Sequential Design, an innovative statistical inference system. Because the decision to terminate an experiment is not predetermined, sequential analysis can arrive at a decision much sooner and with...
Mir Masoom Ali, Rahmatullah Imon, Irfan Ali, Haitham M. Yousof (Editor). — CRC Press, 2025. — 506 p. — ISBN: 978-1-003-37988-1. 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...
Springer, 2023. — 272 p. — ISBN 978-3-031-28188-4. This book describes the probability theory associated with frequently used statistical procedures and the relation between probability theory and statistical inference. The first third of the book is dedicated to probability theory including topics relating to events, random variables, and the Central Limit Theorem. Statistical...
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...
Dover Publications, 2018. — 112 p. — (Dover Books in science and mathematics). — ISBN: 978-0-486-82158-0, 0-486-82158-7. This book "does math". It does not have the dry presentation of Theorem, proof, lemma, "assume that" and a huge inventory of formal symbols. It starts with an amusing derivation of formula which Kac attributes to Vieta. It takes another look at it from a...
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....
Springer, 2019. — 85 p. — ISBN: 978-3-030-12564-6 (eBook). 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....
Springer, 2015. — 678 p. — (Statistics for Social and Behavioral Sciences). — ISBN 978-1-4939-2125-6. 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...
Chapman and Hall/CRC, 2025. — 354 p. — (Chapman & Hall/CRC Biostatistics Series). — ISBN 978-0-429-48878-8. 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 for...
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...
2nd edition. — Springer, 2024. — 262 p. — ISBN 978-3-031-47194-0. 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...
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...
Springer, 2022. — 99 p. — ISBN 978-981-19-6702-3. Анализ скрытых факторов для многомерных и разреженных матриц: подход, основанный на оптимизации роя частиц 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...
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