John Wiley & Sons, 2017. — 571 p. in color. — ISBN: 9781119121046, 1119121043. Provides a step-by-step approach to statistical procedures to analyze data and conduct research, with detailed sections in each chapter explaining SPSS and Excel applications. This book identifies connections between statistical applications and research design using cases, examples, and discussion...
John Wiley & Sons, 2011. — 552 p. — ISBN: 0470889454. Utilizing the latest software, this book presents the essential statistical procedures for drawing valuable results from data in the social sciences. Mobilizing interesting real-world examples from the field of education, Understanding Educational Statistics Using Microsoft Excel and SPSS supplies a seamless presentation...
New York: Springer, 2016. - 313 p. Integrates theoretical and methodological advances from recognized leaders in the field, including the conference's invited speakers Important applications in domains such as genomics, brain imaging, sensory analysis, marketing, psychometrics and information systems Covers PLS regression, PLS path modeling and developments that go beyond PLS...
Hoboken: CRC Press, 2013. — 557 p.
Providing a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental Science, and Engineering guides readers in learning quantitative methodology, including how to implement data analysis methods using open-source software. Given the importance of interdisciplinary work in...
University of California Press, 1986. — 189 p. Preface Experiments and Quasi-Experiments Quasi-Experiments with Nonrandom Assignment: Why Matching and Regression Fail Appendix Estimating Treatment Effects in Quasi-Experiments: The Case of Nonrandomized Assignment Appendix Quasi-Experiments with Censored Data: Why Regression and Weighting Fail Appendix Estimating Treatment...
2nd Edition. — Springer, 2020. — 457 p. — ISBN: 978-981-15-4102-5. This is the first textbook that allows readers who may be unfamiliar with matrices to understand a variety of multivariate analysis procedures in matrix forms. By explaining which models underlie particular procedures and what objective function is optimized to fit the model to the data, it enables readers to...
Springer, 2016. — 301 p. — ISBN: 9811023409, 9789811023408. This book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms. Another feature of the book is that it emphasizes what model underlies a procedure and what objective function is optimized for fitting the model to data. The author believes that...
5th Edition. — Hoboken: CRC Press, 2011. — 508 p. — (Texts in Statistical Science Series). — ISBN: 978-1-4665-0324-3. This new version of the bestselling Computer-Aided Multivariate Analysis has been appropriately renamed to better characterize the nature of the book. Taking into account novel multivariate analyses as well as new options for many standard methods, Practical...
6th ed. — Boca Raton: CRC Press, 2019. — 434 p. — (Chapman & Hall/CRC Texts in Statistical Science). — ISBN: 1138702226. This is the sixth edition of a popular textbook on multivariate analysis. Well-regarded for its practical and accessible approach, with excellent examples and good guidance on computing, the book is particularly popular for teaching outside statistics, i.e....
3rd ed. — Springer-Science+Business Media, B.V., 1996. — 456 p. — ISBN: 041273060X, 9780412730603. See also /file/1724793/ Increasingly, researchers need to perform multivariate statistical analyses on their data. Unfortunately, a lack of mathematical training prevents many from taking advantage of these advanced techniques, in part, because books focus on the theory and...
Wiley-Interscience, 2002. — 731 p. — (Wiley Series in Probability and Statistics). — ISBN: 0471360937, 9780471360933. The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. Responding to new developments in the field as well as to the needs of a new generation of professionals and...
5th Edition, Global Edition. — Pearson Education, 2023. — 878 p. — ISBN 13: 978-1-292-44476-5. For courses in introductory statistics. The art and science of learning from data Statistics: The Art and Science of Learning from Data takes a conceptual approach,helping students understand what statistics is about and learning the rightquestions to ask when analyzing data, rather...
Heidelberg: Springer, 2004. — 149 p. Due to the continuing progress of sensor technology, the availability of 3-D cameras is already foreseeable. These cameras are capable of generating a large set of measurement points within a very short time. There is a variety of 3-D camera applications in the fields of robotics, rapid product development and digital factories. In order to...
Chapman and Hall/CRC, 2014. — 618 p. — ISBN: 1466504080, 9781466504080. In response to scientific needs for more diverse and structured explanations of statistical data, researchers have discovered how to model individual data points as belonging to multiple groups. Handbook of Mixed Membership Models and Their Applications shows you how to use these flexible modeling tools to...
Springer, 2011. — 170 p. — (Statistics for Social and Behavioral Sciences). — ISBN: 978-1-4419-9937-5. The purpose of this book is to evaluate a new approach to the analysis and reporting of the large-scale surveys for the National Assessment of Educational Progress carried out for the National Center for Education Statistics. The need for a new approach was driven by the...
New York: Springer, 1999. — 387 p. Due to the introduction of the information criterion AIC and development of prac tical use of Bayesian modeling, the method of time analysis is now showing remarkable progress. In attempting the study of a new field the actual phenomenon is rarely so simple as to allow direct applications of existing methods of analysis or models. The real...
Springer, 2021. — 117 p. This book contains new aspects of model diagnostics in time series analysis, including variable selection problems and higher-order asymptotics of tests. This is the first book to cover systematic approaches and widely applicable results for nonstandard models including infinite variance processes. The book begins by introducing a unified view of a...
New York: CreateSpace Independent Publishing Platform, 2015. — 203 p. Quick & Easy Statistics is written in simple language with lots of pictures. It will help you understand statistics and data analysis using SPSS, a software package with a user-friendly learning curve. Quick & Easy Statistics uses familiar examples and step-by-step tutorials to explain statistical analysis....
3rd Edition. — American Mathematical Society, 2023. — 256 p. — (Spectrum 34). — eBook ISBN 978-1-61444-622-4. There is an active effort by people in the baseball community to learn more about baseball performance and strategy by the use of statistics. This book illustrates basic methods of data analysis and probability models by means of baseball statistics collected on players...
Academic Press, 2019. — 217 p. — ISBN: 978-0-12-814262-2. This book presents the application of statistical techniques to assist students and researchers who work in food science and food engineering in choosing the appropriate statistical technique. The book focuses on the use of univariate and multivariate statistical methods in the field of food science. The techniques are...
Rehoboth: American Research Press, 2002. - 63p.
The purpose of this book is to postulate some theories and test them numerically. Estimation is often a difficult task and it has wide application in social sciences and financial market. In order to obtain the optimum efficienty for some classes of estimators, the authors devoted this book into three specialized sections:
Part...
Sage Publications, 2001. — 104 p. — (Quantitative Applications in the Social Sciences). — ISBN: 0761916725, 9780761916727. Using numerous examples and practical tips, this book offers a nontechnical explanation of the standard methods for missing data (such as listwise or casewise deletion) as well as two newer (and, better) methods, maximum likelihood and multiple imputation....
Hoboken: John Wiley&sons, 2015. - 412p.
Does the subject of data analysis make you dizzy? You've come to the right place! Statistics For Big Data For Dummies breaks this often-overwhelming subject down into easily digestible parts, offering new and aspiring data analysts the foundation they need to be successful in the field. Inside, you'll find an easy-to-follow introduction...
Springer, 1996. — 713 p. — ISBN: 146128466X.
A non-calculus based introduction for students studying statistics, business, engineering, health sciences, social sciences, and education. It presents a thorough coverage of statistical techniques and includes numerous examples largely drawn from actual research studies. Little mathematical background is required and explanations of...
Boca Raton: CRC Press, 2016. — 314 p. — ISBN: 978-1-4665-0555-1. Describes a flexible, reliable, and powerful permutation and combination approach for solving multivariate ranking problems Integrates methods of ranking and selection from the perspective of this new nonparametric approach Emphasizes applications and problem solving Ranking of Multivariate Populations: A...
Springer, 2006. — 382 p. — ISBN: 0387261273, 9780387261270 This book contains 116 exercises of sampling methods solved in detail. The exercises are grouped into chapters and are preceded by a brief theoretical review specifying the notation and the principal results that are useful for understanding the solutions. Some exercises develop the theoretical aspects of surveys, while...
Cambridge: Cambridge University Press, 2022. — 409 p. This compact course is written for the mathematically literate reader who wants to learn to analyze data in a principled fashion. The language of mathematics enables clear exposition that can go quite deep, quite quickly, and naturally supports an axiomatic and inductive approach to data analysis. Starting with a good...
New York: Pearson, 2014. — 491 p. Displaying the Order in a Group of Numbers Using Tables and Graphs The Mean, Variance, Standard Deviation, and Z Scores Correlation and Prediction Some Key Ingredients for Inferential Statistics: The Normal Curve, Sample Versus Population, and Probability Introduction to Hypothesis Testing Hypothesis Tests with Means of Samples Making Sense of...
New York: Springer, 2018. — 471 p. — ISBN: 978-981-10-8627-4. This book offers a comprehensive guide to essential techniques and methods in biostatistics, addressing the underlying concepts to aid in comprehension. The use of biostatistics techniques has increased manifold in the recent past, due to their suitability for applications in a wide range of problems in various...
Springer, 2017. — 242 p. — (Synthese Library 383). — ISBN 978-3-319-58294-8. Исчезающие основания: вероятность и проблема регресса This book is open access under a CC BY 4.0 license. This book addresses the age-old problem of infinite regresses in epistemology. How can we ever come to know something if knowing requires having good reasons, and reasons can only be good if they...
Springer Science+Business Media, LLC, 1997. — 470 p. Modern astronomical research faces a vast range of statistical issues which have spawned a revival in methodological activity among astronomers. The Statistical Challenges in Modern Astronomy II conference, held in June 1996 at the Pennsylvania State University five years after the first conference, brought astronomers and...
2nd Edition. — Springer Gabler Wiesbaden, 2023. — 607 p. — eBook ISBN: 978-3-658-32589-3. Offers an easy-to-understand introduction to the most relevant methods of multivariate data analysis. Illustrates each method via a case study solved with SPSS. Interactive flashcards are available to the reader for reviewing selected focal points. Data can be extremely valuable if we are...
Heidelberg: Cambridge University Press, 2017. — 322 p. Science is fundamentally about learning from data, and doing so in the presence of uncertainty. This volume is an introduction to the major concepts of probability and statistics, and the computational tools for analysing and interpreting data. It describes the Bayesian approach, and explains how this can be used to fit and...
Philadelphia: SAGE, 1994. — 95 p. How do we group different subjects on a variety of variables? Should we use a classification procedure in which only the concepts are classified (typology), one in which only empirical entities are classified (taxonomy), or a combination of both? Kenneth D Bailey addresses these questions and shows how classification methods can be used to...
2nd Edition. — Lee Baker CSI Publishing. — 2018. — 40 p. — ISBN: 1980938318. Your correlation results are probably wrong. Sorry, but they are. You see, there is one really important thing to know about your correlations that mean that whatever results you get you can’t be sure they are correct.This book fixes that. Correlation is a way of describing how a pair of variables...
Б.м.: CreateSpace, 2013. — 300 p. Applied Statistics is a compendium, an elementary introduction to the growing field of statistics. In this consize volume we emphasize on the concepts, definitions and terminology. With no doubt in mind, linking the three building blocks, mentioned above, will provide any person with a strong hold on the subject of statistics. The material had...
Boston: Birkhauser, 2000. — 254 p. This new book offers a thorough guide to the theory and methods of progressive censoring for practitioners and professionals in applied statistics, quality control, life testing and reliability testing. In many industrial experiments involving lifetimes of machines or units, experiments have to be terminated early due to a variety of...
Academic Press/Elsevier, 2023. — 703 p. Hybrid Censoring Know-How: Models, Methods and Applications focuses on hybrid censoring, an important topic in censoring methodology with numerous applications. The readers will find information on the significance of censored data in theoretical and applied contexts, and descriptions of extensive data sets from life-testing experiments...
Hoboken: Wiley, 2001. — 484 p. Expert practical and theoretical coverage of runs and scansThis volume presents both theoretical and applied aspects of runs and scans, and illustrates their important role in reliability analysis through various applications from science and engineering. Runs and Scans with Applications presents new and exciting content in a systematic and cohesive...
New York: Chapman and Hall/CRC, 2020. — 571 p. Handbook of Forensic Statistics is a collection of chapters by leading authorities in forensic statistics. Written for statisticians, scientists, and legal professionals having a broad range of statistical expertise, it summarizes and compares basic methods of statistical inference (frequentist, likelihoodist, and Bayesian) for...
McGraw-Hill, 1994. — 390 p. This text covers topics such as nonparametric statistics, statistical quality control, multivariate regression analysis and operating characteristic curves. The accompanying MAC software gives a complete treatment of statistically valid sample sizes in all tests of hypotheses addressed.
Berlin: Springer, 2010. — 174 p. Seasonal patterns have been found in a remarkable range of health conditions, including birth defects, respiratory infections and cardiovascular disease. Accurately estimating the size and timing of seasonal peaks in disease incidence is an aid to understanding the causes and possibly to developing interventions. With global warming increasing...
Third Edition. — John Wiley and Sons, 1999. — 411 p. This fully updated and revised third edition, presents a wide ranging, balanced account of the fundamental issues across the full spectrum of inference and decision-making. Much has happened in this field since the second edition was published: for example, Bayesian inferential procedures have not only gained acceptance but...
New York: Chapman and Hall/CRC, 1998. — 606 p. A comprehensive summary of new and existing approaches to analyzing multiresponse data, Graphical Analysis of Multiresponse Data emphasizes graphical procedures. These procedures are then used, in various ways, to analyze, summarize, and present data from a specific, well-known plant breeding trial. These procedures result in...
Dover Publications, 2005. — 722 p. In recent decades matrix algebra and statistics and probability have become two of the most important areas of theoretical and applied mathematics, in terms of university curricula as well as actual research in the social, geographical, human, and life sciences. With a growing awareness of the usefulness of matrices in the statistical sciences...
Peterborough: Broadview Press, 2009. — 242 p. We are inundated by scientific and statistical information, but what should we believe? How much should we trust the polls on the latest electoral campaign? When a physician tells us that a diagnosis of cancer is 90% certain or a scientist informs us that recent studies support global warming, what should we conclude? How can we...
Cambridge: Cambridge University Press, 2002. — 363 p. Power analysis is an essential tool for determining whether a statistically significant result can be expected in a scientific experiment prior to the experiment being performed. Many funding agencies and Institutional Review Boards now require power analyses to be carried out before they will approve experiments,...
NY: John Wiley & Sons Ltd., 2014. — 592 p. — (Wiley Series in Probality and Statistics). — ISBN: 978-1-119-95324-1. A comprehensive overview of the internationalisation of correspondence analysis Correspondence Analysis: Theory, Practice and New Strategies examines the key issues of correspondence analysis, and discusses the new advances that have been made over the last 20...
Wiley, 2010. — 640 p. — 4th ed. — ISBN: 0470248777, 9780470248775 A timely update of the classic book on the theory and application of random data analysis First published in 1971, Random Data served as an authoritative book on the analysis of experimental physical data for engineering and scientific applications. This Fourth Edition features coverage of new developments in...
New York: Pearson, 2014. — 396 p. Supplements To the Student: How to Succeed in Your Statistics Course Applications Index Speaking of Statistics What Is/Are Statistics? Sampling Types of Statistical Studies Should You Believe a Statistical Study? Focus on Psychology: Are You Driving "Drunk" on Your Cell Phone? Focus on Public Health: Is Your Lifestyle Healthy? Measurement in...
Amazon Services International Inc., 2016. — 166 p. — ASIN: B01LDUK032
This is a how-to guide on the approximation of data. There are many books and articles on curve-fitting. This is intended as a supplement to, not a replacement for, such texts. Most references are either esoteric or simplistic. I hope to strike a balance between these two extremes and trust you will find this...
New York: Springer, 1997. - 284 p. This volume gathers refereed papers presented at the 1994 UCLA conference on "La tent Variable Modeling and Application to Causality. " The meeting was organized by the UCLA Interdivisional Program in Statistics with the purpose of bringing together a group of people who have done recent advanced work in this field. The papers in this volume...
Springer, 2019. - 487 p. - ISBN: 3030209326. The primary purpose of this textbook is to introduce the reader to a wide variety of elementary permutation statistical methods . Permutation methods are optimal for small data sets and non-random samples, and are free of distributional assumptions. The book follows the conventional structure of most introductory books on statistical...
Springer, 2021. — 667 p. — ISBN 978-3-030-74360-4. This book takes a unique approach to explaining permutation statistics by integrating permutation statistical methods with a wide range of classical statistical methods and associated R programs. It opens by comparing and contrasting two models of statistical inference: the classical population model espoused by J. Neyman and...
USA: Westview Press, 2000. — 105 p. — ISBN13: 978-0-8133-9971-3. "Although nearly all major social science departments offer graduate students training in quantitative methods, the typical sequencing of topics generally delays training in regression analysis and other multivariate techniques until a student's second year. William Berry and Mitchell Sanders's Understanding...
Second Edition. — Lewis Publishers, 2002. — 464 pages. Two critical questions arise when one is confronted with a new problem that involves the collection and analysis of data. How will the use of statistics help solve this problem? Which techniques should be used? Statistics for Environmental Engineers, Second Edition helps environmental science and engineering students answer...
Marcel Dekker, Inc., 1991. — 481 p. — (A Series of Texbooks and Monographs). — ISBN: 0824785037. Textbook on the understanding and application of statistical procedures to engineering problems, for practicing engineers who once had an introductory course in statistics, but haven't used the techniques in a long time; for statisticians and mathematicians now faced with the...
3rd ed. — New York: McGraw-Hill, 2003. — 320 p. The purpose of this book is to provide an introduction to the concepts of statistical analysis of data for students at the undergraduate and graduate level, and to provide tools for data reduction and error analysis commonly required in the physical sciences. The presentation is developed from a practical point of view, including...
Springer, 2009. — 588 p. — ISBN 978-0-387-93819-6. Статический временной анализ для нанометровых конструкций: практический подход Static Timing Analysis for Nanometer Designs: A Practical Approach is a reference for both beginners as well as professionals working in the area of static timing analysis for semiconductors. This book provides a blend of underlying theoretical...
The Guilford Press. 2007. — 355 p. — ISBN: 159385191X. This book provides a uniquely accessible introduction to multilevel modeling, a powerful tool for analyzing relationships between an individual-level dependent variable, such as student reading achievement, and individual-level and contextual explanatory factors, such as gender and neighborhood quality. Helping readers...
London: SAGE Publications, 2004. — 229 p. Analysis of variance (ANOVA) constitutes the main set of statistical methods used by students and researchers to analyse data from experiments. This expertly written textbook adopts a pioneering approach to ANOVA with an emphasis on confidence intervals rather than tests of significance. Key features of the book include: · Extensive...
Springer Science+Business Media, LLC, 2007. — 568 p. — ISBN: 0387728058. The book deals with discrete multivariate analysis in an effort to bring together in an organised way the extensive theory and practice existing in this field. It is organised in 14 chapters. … is well addressed to readers from different background and different interests covering a wide range from...
De Gruyter Oldenbourg, 2019. — 194 p. — ISBN: 978-3-11-061729-0. Stata is one of the most popular statistical software in the world and suited for all kinds of users, from absolute beginners to experienced veterans. This book offers a clear and concise introduction to the usage and the workflow of Stata. Included topics are importing and managing datasets, cleaning and...
Philadelphia: SIAM, 1996. — 427 p. The method of least squares was discovered by Gauss in 1795. It has since become the principal tool for reducing the influence of errors when fitting models to given observations. Today, applications of least squares arise in a great number of scientific areas, such as statistics, geodetics, signal processing, and control. In the last 20 years...
Oxford: Oxford University Press, 2018. — 801 p. Statistics in Contextoffers a fresh approach to teaching statistics. Designed to reduce students' fear of numbers, the text aims to put statistics-wary readers at ease with uncomplicated explanations and practical examples drawn from real research and everyday life. Written in lively, accessible prose, the narrative describes the...
Wiley, 2021. — 373 p. — ISBN 9781119716686. A complete discussion of fundamental and advanced topics in Item Response Theory written by pioneers in the field In Item Response Theory, accomplished psychometricians Darrell Bock and Robert Gibbons deliver a comprehensive and up-to-date exploration of the theoretical foundations and applications of Item Response Theory (IRT)....
Chicheste: John Wiley & Sons, Ltd., 2009. — 236 p. — ISBN: 0470746645, 9780470746646 This is a practical book on how to apply statistical methods successfully. The Authors have deliberately kept formulae to a minimum to enable the reader to concentrate on how to use the methods and to understand what the methods are for. Each method is introduced and used in a real situation...
Chapman and Hall/CRC, 2008. – 208 p. – ISBN: 1584886307, 9781584886303 Providing reliable information on an intervention effect, meta-analysis is a powerful statistical tool for analyzing and combining results from individual studies. Meta-Analysis of Binary Data Using Profile Likelihood focuses on the analysis and modeling of a meta-analysis with individually pooled data...
New York: Chapman and Hall/CRC Press, 2017. — 430 p. — (Interdisciplinary Statistics Series). — ISBN: 978-1-4987-4531-4. Capture-recapture methods have been used in biology and ecology for more than 100 years. However, it is only recently that these methods have become popular in the social and medical sciences to estimate the size of elusive populations such as illegal...
CRC Press; Taylor & Francis Group, 2007. — 362 p. — (Interdisciplinary Statistics Series). — ISBN13: 978-1-58488-696-9. Statistical and Probabilistic Methods in Actuarial Science covers many of the diverse methods in applied probability and statistics for students aspiring to careers in insurance, actuarial science, and finance. The book builds on students' existing knowledge...
Switzerland: MDPI, 2020. — 106 p. — ISBN: 978-3-03928-176-3. Research without statistics is like water in the sand; the latter is necessary to reap the benefits of the former. This collection of articles is designed to bring together different approaches to applied statistics. The studies presented in this book are a tiny piece of what applied statistics means and how...
2nd ed. — Springer, 2017. — 323 p. — (Graduate Texts in Physics). — ISBN: 9781493965700; EISBN 9781493965724 The revised second edition of this textbook provides the reader with a solid foundation in probability theory and statistics as applied to the physical sciences, engineering and related fields. It covers a broad range of numerical and analytical methods that are...
Springer, 2013. — 303 p. — ISBN: 1461479835, 9781461479833 Statistics and Analysis of Scientific Data covers the foundations of probability theory and statistics, and a number of numerical and analytical methods that are essential for the present-day analyst of scientific data. Topics covered include probability theory, distribution functions of statistics, fits to...
3rd edition. — Springer, 2022. — 323 p. — (Graduate Texts in Physics). — ISBN 978-981-19-0364-9. This book is the third edition of a successful textbook for upper-undergraduate and early graduate students, which offers a solid foundation in probability theory and statistics and their application to physical sciences, engineering, biomedical sciences and related disciplines. It...
2013. The procedure for finding useful patterns in data is known by different names in different communities but more and more, it is grouped under the label of machine learning. This handbook aims to present the statistical foundations of machine learning intended as the discipline which deals with the automatic design of models from data. This manuscript aims to find a good...
Hoboken: Wiley, 2009. — 413 p. This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. Introduction to Meta-Analysis : Outlines the role...
Boston: The MIT Press, 2015. - 224p. Maps of physical spaces locate us in the world and help us navigate unfamiliar routes. Maps of topical spaces help us visualize the extent and structure of our collective knowledge; they reveal bursts of activity, pathways of ideas, and borders that beg to be crossed. This book, from the author of Atlas of Science, describes the power of...
2nd edition. — Beijing: O’Reilly, 2013. — 594 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...
Springer, 2020. — 356 p. — (Unsupervised and Semi-Supervised Learning). — ISBN: ISBN: 978-3-030-23875-9. This book focuses on recent advances, approaches, theories and applications related to mixture models. In particular, it presents recent unsupervised and semi-supervised frameworks that consider mixture models as their main tool. The chapters considers mixture models...
Ellipses, 2010. — 346 p. S'appuyant sur le calcul des probabilités, dont les techniques usuelles ont été développées dans un précédent ouvrage de l'auteur, ce manuel présente les principales méthodes utilisées en statistique mathématique, à travers des rappels de cours et plus d'une centaine de problèmes corrigés qui les illustrent au moyen de cas concrets. L'ouvrage s'adresse...
2da. Edición — Barcelona: Editorial Reverté, 2007. — 662 p. Los objetivos de esta nueva edición de Estadística para Investigadores son los mismos que los que hicieron famosa la primera edición: poner a disposición de los investigadores y experimentadores herramientas estadísticas y científicas que puedan, en gran medida, catalizar la innovación, la resolución de problemas y los...
Статистика для экспериментаторов: дизайн, инновации и открытия. 2nd Edition. — Wiley-Interscience, 2005. — 633 pages. A Classic adapted to modern times. Rewritten and updated, this new edition of Statistics for Experimenters adopts the same approaches as the landmark First Edition by teaching with examples, readily understood graphics, and the appropriate use of computers....
Independently published, 2020. — 227 p. — ASIN B0881W9S1V. This book has been developed using a working knowledge of teaching statistics in the workplace. It recognises that, in everyday business, analysts use a mixture of software tools. The book is for both the applied statistician/analyst/decision scientist who has just started on their journey and the one who needs...
Springer, 1987. — 202 p. This book was written to myself at about the time I began graduate studies in anthropology-the sort of thing a Samuel Beckett character might do. It is about the conduct of research. In a very real sense the purpose is partially to compensate for the inadequacies of my professors. Perhaps this is what education is about. The effort has not been an...
New York: Springer, 2016. - 115p.
Explores specific inferential issues arising from the analysis of dynamic shapes with the attempt to solve the problems at hand using probability models and nonparametric testsUses the Expectation Maximization (EM) algorithm to give essential results for a likelihood-based approach to statistical inference in shape analysisCovers the theory of...
Hoboken: Wiley, 2012. — 491 p. An insightful guide to understanding and visualizing multivariate statistics using SAS, STATA, and SPSS Multivariate Analysis for the Biobehavioral and Social Sciences: A Graphical Approach outlines the essential multivariate methods for understanding data in the social and biobehavioral sciences. Using real-world data and the latest software...
SAGE Publications, 2021. — 616 р. — ISBN 978-1544333861. Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of Data Analysis by David S. Brown teaches students statistics through charts, graphs, and displays of data that help students...
New York: Springer, 2018. — 539 p. This book demonstrates the importance of computer-generated statistical analyses in behavioral science research, particularly those using the R software environment. Statistical methods are being increasingly developed and refined by computer scientists, with expertise in writing efficient and elegant computer code. Unfortunately, many...
Springer, 2014. — 558 p. — ISBN: 3319117335, 9783319117331
This textbook is an approachable introduction to statistical analysis using matrix algebra. Prior knowledge of matrix algebra is not necessary. Advanced topics are easy to follow through analyses that were performed on an open-source spreadsheet using a few built-in functions. These topics include ordinary linear...
Hoboken: Wiley, 2014. — 309 p. Concise, thoroughly class-tested primer that features basic statistical concepts in the concepts in the context of analytics, resampling, and the bootstrap. A uniquely developed presentation of key statistical topics, Introductory Statistics and Analytics: A Resampling Perspective provides an accessible approach to statistical analytics,...
Без указания места издания: Brian Caffo, 2015. - 112p.
The ideal reader for this book will be quantitatively literate and has a basic understanding of statistical concepts and R programming. The book gives a rigorous treatment of the elementary concepts in statistical inference from a classical frequentist perspective. After reading this book and performing the exercises, the...
Wiley, 2021. — 246 p. — ISBN: 978-1-119-54982-6. This book provides readers with a comprehensive and thorough guide to the evidential approach in statistics. The approach uses likelihood ratios, rather than the probabilities used by other statistical inference approaches. The evidential approach is conceptually easier to grasp, and the calculations more straightforward to...
2nd ed. — W. H. Freeman and Company, 2019. — 1638 p. in color. — ISBN: 978131920950. Ann R. Cannon, George W. Cobb, Bradley A. Hartlaub, Julie M. Legler, Robin H. Lock, Thomas L. Moore, Allan J. Rossman, Jeffrey A. Witmer This book introduces students to statistical modeling beyond what they learn in an introductory course. We assume that students have successfully completed a...
Springer, 2014. — 801 p. — (Springer Texts in Statistics). — ISBN: 9781493903948, 9781493903955 This book provides a contemporary and lively postcalculus introduction to the subject of probability. The exposition reflects a desirable balance between fundamental theory and many applications involving a broad range of real problem scenarios. It is intended to appeal to a wide...
Rev Sub, 1997. — 376 p. This revised edition presents the relevant aspects of transformational geometry, matrix algebra, and calculus to those who may be lacking the necessary mathematical foundations of applied multivariate analysis. It brings up-to-date many definitions of mathematical concepts and their operations. It also clearly defines the relevance of the exercises to...
Rowman & Littlefield Publishers, 2023. — 135 p.. The book contains information about measuring variables, descriptive statistics, graphing techniques, inferential statistics including t-tests, ANOVAs, correlations and regression procedures, and non-parametric statistics such as Chi-square anal... One of the greatest barriers to completing a graduate thesis or a doctoral...
CRC, 2017. — 320 p. — ISBN: 978-1-4987-3714-2 Cascarino Richard E. Data Analytics for Internal Auditors There are many webinars and training courses on Data Analytics for Internal Auditors, but no handbook written from the practitioner's viewpoint covering not only the need and the theory, but a practical hands-on approach to conducting Data Analytics. The spread of IT systems...
New York: CRC Press, 2016. — 523 p. — ISBN: 978-1-4987-2746-4. Addressing more than 30 statistical myths, this book explains how to understand statistics rather than how to do statistics. In the book, six characters have 30 discussions on various topics taught in a fictional course intended to teach students how to apply statistics to improve processes. Readers follow along and...
Oxford: Oxford University Press, 2012. — 265 p. — (Oxford Statistical Science Series). — ISBN: 978–0–19–856662–5. This text brings together important ideas on the model-based approach to sample survey, which has been developed over the last twenty years. Suitable for graduate students and professional statisticians, it moves from basic ideas fundamental to sampling to more...
John Wiley & Sons, 2003. — 398 p. — ISBN: 0471899879.
This book is concerned with statistical methods for the analysis of data collected from a survey. A survey could consist of data collected from a questionnaire or from measurements, such as those taken as part of a quality control process. Concerned with the statistical methods for the analysis of sample survey data, this...
Boca Raton: Chapman & Hall/CRC, 2005. — 644 p. Review of Mathematics Probability Theory Random Variables Discrete Distributions Continuous Random Variables Distributions of Order Statistics Asymptotic Distribution Theory Point Estimation Hypothesis Testing Interval Estimation Introduction to Computational Methods
Springer, 2020. — 290 p. — (Forum for Interdisciplinary Mathematics). — ISBN: 9811514755. This book presents recent developments in statistical methodologies with particular relevance to applications in forestry and environmental sciences. It discusses important methodologies like ranked set sampling, adaptive cluster sampling, small area estimation, calibration approach-based...
New York: Springer, 1988. — 274 p. There are numerous books on statistical theory and on specific statistical techniques, but few, if any, on problem solving. This book is written for anyone who has studied a range ofbasic statistical topics but still feels unsure about tackling real-life problems. How can reliable data be collected to answer a specific question ? What is to be...
Boca Raton: Routledge, 2018. — 285 p. One of the most popular introductory texts in its field, Statistics for Technology: A Course in Applied Studies presents the range of statistical methods commonly used in science, social science, and engineering. The mathematics are simple and straightforward; statistical concepts are explained carefully; and real-life (rather than contrived)...
Morgan & Claypool Publishers, 2021. — 175 p. — (Synthesis Lectures on Mathematics and Statistics). — ISBN 978-1636390826. This is an introductory book on continuous statistical distributions and its applications. It is primarily written for graduate students in engineering, undergraduate students in statistics, econometrics, and researchers in various fields. The purpose is to...
Springer, 2023. - 141 p. - (Synthesis Lectures on Mathematics & Statistics). - ISBN 3031323297. This book introduces descriptive statistics and covers a broad range of topics of interest to students and researchers in various applied science disciplines. This includes measures of location, spread, skewness, and kurtosis; absolute and relative measures; and classification of...
Singapore: Springer, 2018. — 178 p. This book discusses recent developments and the latest research in statistics and its applications, primarily in agriculture and industry, survey sampling and biostatistics, gathering articles on a wide variety of topics. Written by leading academics, scientists, researchers and scholars from around the globe to mark the platinum jubilee of...
N.-Y.: CRC Press, 2014. — 280 p.
Exposure to Sampling Abstract Introduction Concepts of Population, Sample, and Sampling Initial Ramifications Abstract Introduction Sampling Design, Sampling Scheme Random Numbers and Their Uses in Simple RandomSampling (SRS) Drawing Simple Random Samples with and withoutReplacement Estimation of Mean, Total, Ratio of Totals/Means:Variance and...
Second Edition. — Chapman&Hall/CRC, 2005. — 275 p. — ISBN: 978-0-8247-5754-0. Since publication of the first edition in 1992, the field of survey sampling has grown considerably. This new edition of Survey Sampling: Theory and Methods has been updated to include the latest research and the newest methods. The authors have undertaken the daunting task of surveying the sampling...
New York: Springer, 2017. — 355 p. This book is comprised of the presentations delivered at the 25th ICSA Applied Statistics Symposium held at the Hyatt Regency Atlanta, on June 12-15, 2016. This symposium attracted more than 700 statisticians and data scientists working in academia, government, and industry from all over the world. The theme of this conference was the...
2nd edition. — Springer Science+Business Media, 2012. — 286 pages. — ISBN: 0817648003. A revised and expanded second edition is an in-depth study of the change point problem from a general point of view, as well as a further examination of change point analysis of the most commonly used statistical models. Change point problems are encountered in such disciplines as economics,...
2nd Edition. — Wiley, 2007. — 400 p. — ISBN: 978-0-471-75621-7.
Over the past decade, the application of bootstrap methods to new areas of study has expanded, resulting in theoretical and applied advances across various fields. Bootstrap Methods, Second Edition is a highly approachable guide to the multidisciplinary, real-world uses of bootstrapping and is ideal for readers...
New York: ISTE, 2017. — 153 p. ML Estimators for right censored data. Asymptotic properties of ML estimators Chi-squared goodness-of fit tests for a right-censored sample Regularity Hjort s conditions Chi-squared tests for specified families: exponential, shape-scale, Weibull, logistic, lognormal, Gompertz families of distributions. Chi-squared test for the family of...
New York: Springer, 2015. — 268 p. This volume presents an eclectic mix of original research articles in areas covering the analysis of ordered data, stochastic modeling and biostatistics. These areas were featured in a conference held at the University of Texas at Dallas from March 7 to 9, 2014 in honor of Professor H. N. Nagaraja’s 60th birthday and his distinguished...
3rd edition. — Boca Raton: Chapman & Hall Crc Press, 2009. — 733 p. — (Biostatistics Series).
Taking into account the regulatory and scientific developments that have occurred since the second edition, Design and Analysis of Bioavailability and Bioequivalence Studies, Third Edition provides a complete presentation of the latest progress of activities and results in...
Boston: The MIT Press, 2021. — 339 p. How big data and machine learning encode discrimination and create agitated clusters of comforting rage. In Discriminating Data, Wendy Hui Kyong Chun reveals how polarization is a goal—not an error—within big data and machine learning. These methods, she argues, encode segregation, eugenics, and identity politics through their default...
Wiley, 2011. — 462 p. — ISBN 9780470574799
Fundamentals of Statistical Reasoning in Education 3e, like the first two editions, is written largely with students of education in mind. Accordingly, we draw primarily on examples and issues found in school settings, such as those having to do with instruction, learning, motivation, and assessment. Our emphasis on educational...
4th Ed. — Wiley, 2014. — 450 p. — ISBN: 9781118425213
Fundamentals of Statistical Reasoning in Education, 4th Edition is a text specifically geared towards the education community. This text gives educators the statistical knowledge and skills necessary in everyday classroom teaching, in running schools, and in professional development pursuits. It emphasises conceptual...
New York: Wiley, 2008. - 450p.
This book covers all the latest advances, as well as more established methods, in the application of statistical and optimisation methods within modern industry. These include applications from a range of industries that include micro-electronics, chemical, automotive, engineering, food, component assembly, household goods and plastics. Methods...
NY: John Wiley & Sons, Inc, 2009. — 330 p. — (Wiley Series in Probability and Statistics). — ISBN: 978-0-470-22839-5. A modern, comprehensive treatment of latent class and latent transition analysis for categorical dataOn a daily basis, researchers in the social, behavioral, and health sciences collect information and fit statistical models to the gathered empirical data with...
N.-Y.: Wiley-ISTE, 2014. - 144p.
This title is written for the numerate nonspecialist, and hopes to serve three purposes. First it gathers mathematical material from diverse but related fields of order statistics, records, extreme value theory, majorization, regular variation and subexponentiality. All of these are relevant for understanding fat tails, but they are not, to our...
2nd Edition. — Tilde University Press, 2014. — 604 p. — ISBN: 978-0-7346-2070-5. Learning about statistics is a stressful activity for many people. This text is designed to painlessly acquaint students, beginning researchers and statistical novices with a wide range of analytical possibilities. Through straightforward descriptions and concrete illustrations, the text explores...
4th edition. — Los Angeles: SAGE Publications, 2020. — 1035 p. The Fourth Edition of Statistics: A Gentle Introduction shows students that an introductory statistics class doesn’t need to be difficult or dull. This text minimizes students’ anxieties about math by explaining the concepts of statistics in plain language first, before addressing the math. Each formula within the...
Wiley, 2009. — 264 p. — ISBN10 047045461X. A practical and understandable approach to nonparametric statistics for researchers across diverse areas of study As the importance of nonparametric methods in modern statistics continues to grow, these techniques are being increasingly applied to experimental designs across various fields of study. However, researchers are not always...
Cambridge University Press, 2006. — 219 p. Subjects: Statistics and probability, Statistical theory and methods, Epidemiology, public health and medical statistics In this definitive book, D. R. Cox gives a comprehensive and balanced appraisal of statistical inference. He develops the key concepts, describing and comparing the main ideas and controversies over foundational...
Cambridge University Press, 2011. — 202 p. Applied statistics is more than data analysis, but it is easy to lose sight of the big picture. David Cox and Christl Donnelly distil decades of scientific experience into usable principles for the successful application of statistics, showing how good statistical strategy shapes every stage of an investigation. As you advance from...
Cambridge University Press, 1981. — 196 p. — ISBN: 0412165600, 0412165708, 9780412165603
The analyses of the examples are sufficiently detailed to provide good illustrations of both general principles and important specific techniques of analysis, yet are presented insuch a way that tge informed reader will want to try his own hand at extending the analysis of the data. This...
Apress, 2017. — 324 p. — ISBN: 978-1-4842-2256-0. Examine and solve the common misconceptions and fallacies that non-statisticians bring to their interpretation of statistical results. Explore the many pitfalls that non-statisticians―and also statisticians who present statistical reports to non-statisticians―must avoid if statistical results are to be correctly used for...
Open University Press, 2003. — 250 p. — (Understanding Social Research). — ISBN: 0335-20059-1. There are a variety of statistical techniques used to analyse quantitative data that masters students, advanced undergraduates and researchers in the social sciences are expected to be able to understand and undertake. This book explains these techniques, when it is appropriate to use...
Cambridge: Cambridge University Press, 2003. — 180 p. — ISBN: 978-0-511-07354-0. Logistic models are widely used in economics and other disciplines and are easily available as part of many statistical software packages. This text for graduates, practitioners and researchers in economics, medicine and statistics, which was originally published in 2003, explains the theory...
Oxford: Oxford University Press, 2015. — 335 p. — ISBN: 978-0-19-871254-1. Reliable data analysis lies at the heart of scientific research, helping you to figure out what your data is really telling you. Yet the analysis of data can be a stumbling block for even the most experienced researcher - and can be a particularly daunting prospect when analyzing your own data for the...
New York: Marcel Dekker, 1986. — 589 p. Overview Graphical Analysis Tests of Chi-Squared Type Tests Based on EDF Statistics Tests Based on Regression and Correlation Some Transformation Methods in Goodness-of-Fit Moment (Ob1, b2 ) Techniques Tests for the Uniform Distribution Tests for the Normal Distribution Tests for the Exponential Disrtibution Analysis of Data from Censored...
Physica, 2008. — 303 p. Introduction to IWFOS'2008. Solving Multicollinearity in Functional Multinomial Logit Models for Nominal and Ordinal Responses. Estimation of Functional Regression Models for Functional Responses by Wavelet Approximation. Functional Linear Regression with Functional Response: Application to Prediction of Electricity Consumption. Asymptotic Normality of...
New York: Springer, 2016. — 293 p. This book explores widely used seasonal adjustment methods and recent developments in real time trend-cycle estimation. It discusses in detail the properties and limitations of X12ARIMA, TRAMO-SEATS and STAMP - the main seasonal adjustment methods used by statistical agencies. Several real-world cases illustrate each method and real data...
Chapman & Hall/CRC, 2008. — 328 p. — ISBN 1584886099.
Drawing from the authors own work and from the most recent developments in the field, Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis describes a comprehensive Bayesian approach for drawing inference from incomplete data in longitudinal studies. To illustrate these methods, the...
Asian Books, 2008. — 244 p. The title "101 Graphical Techniques", itself indicates the very purpose of the book. Data visualization or graphical representation of Statistical data is now an emerging subfield of Statistics. Though various graphical techniques existed in statist!cal literature but some very common graphical techniques are found to replicate themselves in almost...
Springer, 2017. — 259 p. Indian Statistical Institute, Giridih, India, March 28-29, 2016. Growth curve models in longitudinal studies are widely used to model population size, body height, biomass, fungal growth, and other variables in the biological sciences, but these statistical methods for modeling growth curves and analyzing longitudinal data also extend to general...
Boca Raton: CRC Press, 2020. — 255 p. Directional data arise in the form of circular / semicircular / axial, symmetric / asymmetric, uni / bimodal data, in practical situations of varied fields. For the purpose of modeling such kind of data sets, the data scientists found that existing models as inadequate. As there is paucity of angular models, and to fill the gap, this book...
Springer Nature Singapore Pte Ltd., 2018. — 357 p. — (Signals and Communication Technology) — ISBN: 9811075921. This book offers a detailed description of the histogram probabilistic multi-hypothesis tracker (H-PMHT), providing an accessible and intuitive introduction to the mathematical mechanics of H-PMHT as well as a definitive reference source for the existing literature on...
Washington, USA: Cato Institute, 2017. — 153 p. — ISBN10: 1944424350. The modern world is brimming with statistical information-information relevant to our personal health and safety, the weather, or the robustness of the national or global economy, to name just a few examples. But don't statistics lie? Well, no-people lie, and sometimes they use statistical language to do it....
Springer, 2020. — 92 p. — (Springer Briefs in Statistics). — ISBN: 978-3-030-42579-1. This concise book for practitioners presents the statistical analysis of operational risk, which is considered the most relevant source of bank risk, after market and credit risk. The book shows that a careful statistical analysis can improve the results of the popular loss distribution...
John Wiley & Sons Ltd, 2022. — 195 p. — ISBN: 978-1119951377. A thorough treatment of the statistical methods used to analyze doubly truncated data In The Statistical Analysis of Doubly Truncated Data, an expert team of statisticians delivers an up-to-date review of existing methods used to deal with randomly truncated data, with a focus on the challenging problem of random...
5th Edition, Global Edition. - Pearson Education, 2021. — 1026 p. — ISBN 978-1-292-36221-2. For courses inIntroductory Statistics. Encourages statistical thinking using technology, innovative methods, and a sense of humour Inspired by the 2016GAISE Report revision, Stats: Data and Models, 5th Edition byDe Veaux, Velleman, and Bock uses innovative strategies to help students...
6th Edition. — Pearson Education, 2021. — 846 p. — ISBN 9780136806868. Encourages statistical thinking using technology, innovative methods, and a sense of humor Intro Stats, 6th Edition uses innovative strategies to help students think critically about data, while maintaining the book's core concepts, coverage, and most importantly, readability. By using technology and...
5th. ed. — Pearson Education, 2017. — 800 p. Inspired by the 2016 GAISE Report revision, Intro Stats, 5th. Edition by De Veaux/Velleman/Bock uses innovative strategies to help students think critically about data – while maintaining the book’s core concepts, coverage, and most importantly, readability. By using technology and simulations to demonstrate variability at critical...
3rd ed. — Pearson, 2011. — 857 p. in color. — ISBN: 0321699122, 9780321699121
Intro Stats, Third Edition, continues and extends the successful innovations pioneered in the DeVeaux/Velleman/Bock books, teaching statistics and statistical thinking for today's readers. This book uses a fun, conversational writing style, real data, and short, accessible chapters. The consistent...
4th Global edition. — Pearson, 2015. — 996 p. — ISBN: 1292101636 Richard De Veaux, Paul Velleman, and David Bock wrote Stats: Data and Models with the goal that students and instructors have as much fun reading it as they did writing it. Maintaining a conversational, humorous, and informal writing style, this new edition engages students from the first page. The authors focus...
3th Edition. Pearson Education, 2011. — 976 pages ISBN: 0321692551 Stats: Data and Models, Third Edition , will intrigue and challenge students by encouraging them to think statistically and by emphasizing how statistics helps us understand the world. Praised by students and instructors alike for its readability and ease of comprehension, this text focuses on statistical...
De Veaux R., Velleman P., Bock D., Vukov A., Wong A. – 3rd Canadian Edition. — Pearson, 2019. — 1098 p. — ISBN 9780134301051. Unparalleled in its readability and ease of comprehension, Stats: Data and Models, Third Canadian Edition, focuses on statistical thinking and data analysis. Written in an approachable style without sacrificing rigor, this text incorporates compelling...
New York: Wiley, 2011. - 456p.
A practical, one-stop reference on the theory and applications of statistical data editing and imputation techniques
Collected survey data are vulnerable to error. In particular, the data collection stage is a potential source of errors and missing values. As a result, the important role of statistical data editing, and the amount of resources...
New York: Springer, 2006. - 346p.
The process of discovery in science and technology may require investigation of a large number of features, such as factors, genes or molecules. In Screening, statistically designed experiments and analyses of the resulting data sets are used to identify efficiently the few features that determine key properties of the system under study.
Oxford University Press, 2010. — 136 p. — (Understanding Statistics). — ISBN: 9780195377033
This is a title in our Understanding Statistics series, which is designed to provide researchers with authoritative guides to understanding, presenting and critiquing analyses and associated inferences. Each volume in the series demonstrates how the relevant topic should be reported --...
Wiley, 2023. — 240 p. — ISBN 9781119891802. M-statistics. A comprehensive resource providing new statistical methodologies and demonstrating how new approaches work for applications M-statistics introduces a new approach to statistical inference, redesigning the fundamentals of statistics, and improving on the classical methods we already use. This book targets exact optimal...
2nd edition. — Wiley, 2021. — 576 p. — ISBN 978-1119583042. The revised and updated second edition of Applied Univariate, Bivariate, and Multivariate Statistics: Understanding Statistics for Social and Natural Scientists, with Applications in SPSS and R contains an accessible introduction to statistical modeling techniques commonly used in the social and behavioral sciences....
John Wiley & Sons, Inc., 2015. — 760 p. — ISBN: 1118632338, 9781118632338 A clear and efficient balance between theory and application of statistical modeling techniques in the social and behavioral sciences. Written as a general and accessible introduction, Applied Univariate, Bivariate, and Multivariate Statistics provides an overview of statistical modeling techniques used...
Wiley, 2021. — 300 p. — ISBN 978-1119578147. A practical, “how-to” reference for anyone performing essential statistical analyses and data management tasks in Python Applied Univariate, Bivariate, and Multivariate Statistics Using Python delivers a comprehensive introduction to a wide range of statistical methods performed using Python in a single, one-stop reference. The book...
2nd Edition. — МАТ, 2010. — 155 p. Pre-Statistics How to Convert From a Percentage to a Decimal How to Convert From a Decimal to a Percentage How to Round to X Decimal Places How to Use Order of Operations How to Find the Mean, Mode, and Median How to Find a Factorial How to Detect Fake Statistics The Basics/Descriptive Statistics How to Tell the Difference between Discrete and...
3rd ed. — Cengage Learning, 2013. — 656 p. in color. — ISBN: 113311136X, 9781133111368. This concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis. Applied Statistics for Engineers and Scientists emphasizes application of methods to real problems, with real examples throughout. Data and Distributions Populations, Samples,...
New York: Taylor & Francis, 2000. — 554 p. All measurements are subject to error because no quantity can be known exactly; hence, any measurement has a probability of lying within a certain range. The more precise the measurement, the smaller the range of uncertainty. Uncertainty, Calibration and Probability is a comprehensive treatment of the statistics and methods of estimating...
4th edition. — Б.м.:, OpenIntro.org, 2019. — 422 p. Introduction to data Summarizing data Probability Distributions of random variables Foundations for inference Inference for categorical data Inference for numerical data Introduction to linear regression Multiple and logistic regression Exercise solutions Data sets within the text Distribution tables
3rd edition. — OpenIntro, 2015. — 436 p. The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. Our inaugural effort is OpenIntro Statistics. Probability is optional, inference is key, and we feature real data whenever possible. Files for the entire...
Oxford: Oxford University Press, 2002. - 396p.
The new edition of this important text has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving and important area of biostatistics. Two new chapters have been added on fully parametric models for discrete repeated measures data and on statistical models for...
Oxford: Oxford University Press, 2011. — 189 p. — ISBN: 978–0–19–954318–2. Most introductory statistics text-books are written either in a highly mathematical style for an intended readership of mathematics undergraduate students, or in a recipe-book style for an intended audience of non-mathematically inclined undergraduate or postgraduate students, typically in a single...
Springer, 2021. — 412 p. — (Studies in Choice and Welfare). — ISBN 978-3-030-48597-9. Эта книга включает современные вклады в широко определенную область вероятностного анализа механизмов решения и правил голосования. This book includes up-to-date contributions in the broadly defined area of probabilistic analysis of voting rules and decision mechanisms. Featuring papers from...
New York: Morgan & Claypool, 2020. — 160 p. — (Synthesis Lectures on Human-Centered Informatics №44). — ISBN 9781681737430. Many people find statistics confusing, and perhaps even more confusing given recent publicity about problems with traditional p-values and alternative statistical techniques including confidence intervals and Bayesian statistics. This book aims to help...
Cambridge: Cambridge University Press, 2007. — 303 p. Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This reference book bridges the gap between statistical theory and practical data analysis by presenting a comprehensive set of tables for all standard models of analysis of variance and covariance with up to three treatment factors....
Wiley, 2006. – 262 p. – ISBN: 0470023538, 9780470023532 There is more statistical data produced in today’s modern society than ever before. This data is analysed and cross-referenced for innumerable reasons. However, many data sets have no shared element and are harder to combine and therefore obtain any meaningful inference from. Statistical matching allows just that; it is...
Cambridge: Cambridge University Press, 2006. — 266 p. — ISBN 978-0-521-85803-8. Samples used in social and commercial surveys, especially of the general population, are usually less random (often by design) than many people using them realise. Unless it is understood, this 'non-randomness' can compromise the conclusions drawn from the data. This book introduces the challenges...
Singapore: Springer, 2019. — 123 p. This book introduces readers to statistical methodologies used to analyze doubly truncated data. The first book exclusively dedicated to the topic, it provides likelihood-based methods, Bayesian methods, non-parametric methods, and linear regression methods. These procedures can be used to effectively analyze continuous data, especially...
2nd ed. — Wiley, 2004. — 634 p. — (Wiley series in probability and statistics). — ISBN: 047126735X, 9780471267355 Praise for the Second Edition "Statistics for Research has other fine qualities besides superior organization. The examples and the statistical methods are laid out with unusual clarity by the simple device of using special formats for each. The book was written...
The University of Chicago Press, 2023. — 258 p. — ISBN 0226822583. An essential guide to the ways data can improve decision making. Statistics are everywhere: in news reports, at the doctor’s office, and in every sort of forecast, from the stock market to the weather. Blogger, teacher, and computer scientist Allen B. Downey knows well that people have an innate ability both to...
Springer, 2011. — 138 p. — (Lecture Notes in Statistics). — ISBN: 1461403251, 9781461403258 The aim of this book is to give the reader a detailed introduction to the different approaches to generating multiply imputed synthetic datasets. It describes all approaches that have been developed so far, provides a brief history of synthetic datasets, and gives useful hints on how to...
London: Routledge, 2022. — 441 p. This fully updated new edition not only provides an introduction to a range of advanced statistical techniques that are used in psychology, but has been expanded to include new chapters describing methods and examples of particular interest to medical researchers. It takes a very practical approach, aimed at enabling readers to begin using the...
New York: Springer, 2011. — 204 p. Because statistical confidentiality embraces the responsibility for both protecting data and ensuring its beneficial use for statistical purposes, those working with personal and proprietary data can benefit from the principles and practices this book presents. Researchers can understand why an agency holding statistical data does not respond...
New York: Springer, 2018. — 117 p. This book provides an introduction to the theory, method, and practice of State-Trace Analysis (STA), and includes a detailed tutorial on the statistical analysis of state-trace designs. The book offers instructions on how to perform state-trace analysis using the authors' own publicly-available software in both MatLAB and R. The book begins...
CRC Press, 2018. — 468 p. The book provides up-to-date coverage of experimentation methods in science and engineering. This edition adds five new "concept chapters" to introduce major areas of experimentation generally before the topics are treated in detail, to make the text more accessible for undergraduate students. These feature Measurement System Components, Assessing...
CRC Press, 2018. — 589 p. The book provides up-to-date coverage of experimentation methods in science and engineering. This edition adds five new "concept chapters" to introduce major areas of experimentation generally before the topics are treated in detail, to make the text more accessible for undergraduate students. These feature Measurement System Components, Assessing...
N.Y.: Springer, 2008. — 170 p. Random effects and latent variable models are broadly used in analyses of multivariate data. These models can accommodate high dimensional data having a variety of measurement scales. Methods for model selection and comparison are needed in conducting hypothesis tests and in building sparse predictive models. However, classical methods for model...
2nd edition. — ASQ Quality Press, 2022. — 357 p. — ISBN 978-1-63694-015-1. This book is a convenient and comprehensive guide to statistics. A resource for quality technicians and engineers in any industry, this second edition provides even more equations and examples for the reader―with a continued focus on algebra-based math. Those preparing for ASQ certification examinations,...
Springer, 2017. — 292 p. — ISBN: 978-3319599748 This book is intended for use in advanced graduate courses in statistics / machine learning, as well as for all experimental neuroscientists seeking to understand statistical methods at a deeper level, and theoretical neuroscientists with a limited background in statistics. It reviews almost all areas of applied statistics, from...
Beachwood, Ohio: Institute of Mathematical Statistics, 2007. — 519 p. — (Institute of Mathematical Statistics. Lecture Notes–Monograph Series 53). — ISBN: 9780940600690. The purpose of this book is to present a version of multivariate statistical theory in which vector space and invariance methods replace, to a large extent, more traditional multivariate methods. The book is a...
New York: Chapman and Hall/CRC, 2018. — 464 p. All basic types of missing at random and not at random, biasing, truncation, censoring, and measurement errors are discussed, and their treatment is explained. Ten chapters of the book cover basic cases of direct data, biased data, nondestructive and destructive missing, survival data modified by truncation and censoring, missing...
Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability (Book 57). — Chapman and Hall/CRC, 1993. — 436 p. — ISBN: 978-0412042317, e-ISBN: 978-1489945419. Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An...
N.-Y.: Wiley-Interscience, 1980. - 480p.
Survival analysis deals with the distribution of life times, essentially the times from an initiating event such as birth or the start of a job to some terminal event such as death or pension. This book, originally published in 1980, surveys and analyzes methods that use survival measurements and concepts, and helps readers apply the...
CRC Press; Chapman and Hall/CRC, 2017. — 262 p. — (Monographs on statistics and applied probability). — ISBN: 9781439807828, 1439807825. Longitudinal studies often incur several problems that challenge standard statistical methods for data analysis. These problems include non-ignorable missing data in longitudinal measurements of one or more response variables, informative...
Springer Science+Business Media, LLC, 1996. — XIV, 164 p. The term singular spectrum comes from the spectral (eigenvalue) decomposition of a matrix A into its set (spectrum) of eigenvalues. These eigenvalues, A, are the numbers that make the matrix A -AI singular. The term singular spectrum analysis· is unfortunate since the traditional eigenvalue decomposition involving...
Boca Raton: CRC Press, 2017. — 418 p. Athough books covering experimental design are often written for academic courses taken by statistics majors, most experiments performed in industry and academic research are designed and analyzed by non-statisticians. Therefore, a need exists for a desk reference that will be useful to practitioners who use experimental designs in their...
6th edition. — CAMO Software AS, 2018. — 948 p. — ISBN 9788269110401. This long-anticipated textbook is currently the most up-to-date resource on chemometrics and Multivariate Data Analysis (MVA). The field of chemometrics is the application of multivariate data analysis methodology to solve chemistry-based problems. It explains not only how to understand experimental outputs,...
Springer, Singapore, 2022. — 190 p. — ISBN 978-981-19-0972-6. This book provides methods and applications of latent class analysis, and the following topics are taken up in the focus of discussion: basic latent structure models in a framework of generalized linear models, exploratory latent class analysis, latent class analysis with ordered latent classes, a latent class model...
New York: Chapman and Hall/CRC, 1992. — 175 p. Much of the data collected in medicine and the social sciences is categorical, for example, sex, marital status, blood group, whether a smoker or not and so on, rather than interval-scaled. Frequently the researcher collecting such data is interested in the relationships or associations between pairs, or between a set of such...
2nd ed. — John Wiley & Sons Ltd., 2010. — 324 p. — ISBN: 9780470711170, 9781118887486, 0470711175. Multivariate analysis plays an important role in the understanding of complex data sets requiring simultaneous examination of all variables. Breaking through the apparent disorder of the information, it provides the means for both describing and exploring data, aiming to extract...
Springer, 2023. — 272 p. 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 topics then include...
CRC Press, Taylor & Francis Group, 2017. — 656 p. — ISBN: 1466588179. Statistical Analysis of Contingency Tables is an invaluable tool for statistical inference in contingency tables. It covers effect size estimation, confidence intervals, and hypothesis tests for the binomial and the multinomial distributions, unpaired and paired 2x2 tables, rxc tables, ordered rx2 and 2xc...
Cambridge University Press, 2013. — 173 pages. — ISBN: 1107682266
This title forms part of the completely new Mathematics for the IB Diploma series. This highly illustrated book covers topic 7 of the IB Diploma Higher Level Mathematics syllabus, the optional topic Statistics and Probability. It is also for use with the further mathematics course. Based on the new group 5 aims,...
Springer, 2003. — 511 p. — ISBN 0387955461. Digital sky surveys, high-precision astrometry from satellite data, deep-space data from orbiting telescopes, and the like have all increased the quantity and quality of astronomical data by orders of magnitude per year for several years. Making sense of this wealth of data requires sophisticated statistical techniques. Fortunately,...
Springer, 2006. — 260 p. — (Springer Series in Statistics). — ISBN: 978-0387-30369-7, 0-387-30369-3. Modern apparatuses allow us to collect samples of functional data, mainly curves but also images. On the other hand, nonparametric statistics produces useful tools for standard data exploration. This book links these two fields of modern statistics by explaining how functional...
Springer Science & Business Media, 2011. — 473 p. — ISBN: 978-3-642-13311-4. The growing capabilities in generating and collecting data has risen an urgent need of new techniques and tools in order to analyze, classify and summarize statistical information, as well as to discover and characterize trends, and to automatically bag anomalies. This volume provides the latest...
Sage, 2012. — 992 p. — ISBN: 978-1-4462-0046-9 The R version of Andy Field's hugely popular Discovering Statistics Using SPSS takes students on a journey of statistical discovery using the freeware R. Like its sister textbook, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core...
Springer, 2021. — 410 p. — ISBN 978-3-030-71174-0. This book presents modern methods and real-world applications of compositional data analysis. It covers a wide variety of topics, ranging from an updated presentation of basic concepts and ideas in compositional data analysis to recent advances in the context of complex data structures. Further, it illustrates real-world...
CRC, 2017. — 341 p. — ISBN: 978-1-4987-4824-7. This book is designed primarily for upper level undergraduate and graduate level students taking a course in multilevel modelling and/or statistical modelling with a large multilevel modelling component. The focus is on presenting the theory and practice of major multilevel modelling techniques in a variety of contexts, using Mplus...
New York: Springer, 2015. — 661 p. Introduces legal professionals to probability and statistics. Includes numerous cases and case studies. Readers can practice math skills by following the calculations provided. This classic text, first published in 1990, is designed to introduce law students, law teachers, practitioners, and judges to the basic ideas of mathematical...
Springer, 2008. — 296 p. Failure Rate Modeling for Reliability and Risk focuses on reliability theory and, specifically, to the failure rate (the hazard rate, the force of mortality) modeling and its generalizations to systems operating in a random environment and to repairable systems. The failure rate is one of the crucial probabilistic characteristics for a number of...
4th edition. — Springer, 2025. — 732 p. — ISBN 978-1-0716-4155-2; ISBN 978-1-0716-4156-9. This classic text, first published in 1990, is designed to introduce law students, law teachers, practitioners, and judges to the basic ideas of mathematical probability and statistics as they have been applied in the law. The fourth edition includes fourteen new sections, four inserts to...
Boca Raton, CRC Press LLC, 2000. - без пагинации, 8 файлов в архиве.
Сборник материалов международного семинара по статистике. Представлены доклады "Экстремальные значения и их применение в охране окружающей среды, страховании и финансах", "Применение экстремальных моделей на практике и ошибки в их применении", "Риск-менеджмент с использованием теории экстремальных значений",...
Third Edition. — Hoboken, John Wiley & Sons, 2003. — 793 p. — ISBN: 0-471-52629-0.
Монография посвящена статистическому анализу данных, представленных в номинальной (категоризованной) шкале и выявлению статистической значимости долей и пропорций. Рассмотрены, среди прочего, вопросы рандомизации, сравнения разных выборок, логистической и пуассоновской регрессии, проблема...
Amsterdam: Springer, 1988. — 306 p. This book introduces selected methods of multivariate statistical analysis at a non-technical level. Emphasis is on verbal and graphical illustrations of the basic principles underlying multivariate techniques rather than mathematical details. It is designed for those who wish to increase their understanding of multivariate methods without...
Independently published, 2023. — 205 p. Статистика 1: вероятностные рассуждения с элементарной точки зрения с помощью электронных таблиц Probabilistic reasoning from an elementary point of view with spreadsheets. This book is an analytical palimpsest which attempts to recast into spreadsheets and reimagine the Bayesian Stan-based analytics presented by Richard? for the data...
4th ed. — W. W. Norton & Company, 2007. — 715 p. — ISBN: 0393929728, 9780393929720. Statistics is the science of using and analyzing numerical data and providing a clear representation of samples from a data set. Most professional degree programs require at least one statistics course. You may have to use these concepts in detailed research projects in your future career or in...
Cambridge University Press, 2010. — 399 p. — ISBN: 978-0521195003, e-ISBN: 978-0511688836. David A. Freedman presents here a definitive synthesis of his approach to causal inference in the social sciences. He explores the foundations and limitations of statistical modeling, illustrating basic arguments with examples from political science, public policy, law, and epidemiology....
Jim Publishing, 2019. — 248 p. Prepare for an Adventure! The Importance of Statistics Draw Valid Conclusions Avoid Common Pitfalls Make an Impact in Your Field Protect Yourself with Statistics Statistics versus Anecdotal Evidence A scientific study of the weight loss supplement How Statistics Beats Anecdotal Evidence Organization of this Book Data Types, Graphs, and Finding...
Springer, 2006. — 492 p. — (Springer Series in Statistics). — ISBN: 978-0387-32909-3. The past decade has seen powerful new computational tools for modeling which combine a Bayesian approach with recent Monte simulation techniques based on Markov chains. This book is the first to offer a systematic presentation of the Bayesian perspective of finite mixture modelling. The book...
NY: M. Dekker, 1998. — 225 p. — (Quality and Reliability 54). — ISBN: 0-8247-9939-9. Provides a theoretical foundation as well as practical tools for the analysis of multivariate data, using case studies and MINITAB computer macros to illustrate basic and advanced quality control methods. This work offers an approach to quality control that relies on statistical tolerance...
2nd Edition. Wiley series in probability and statistics. A Wiley-Interscience publication, 1996. – 721 pages. Moving Average and Autoregressive Processes. Introduction to Fourier analysis. Spectral Theory and Filtering. Some Large Sample Theory. Estimation of the Mean and Autocorrelations. The Periodogram, Estimated Spectrum. Parameter Estimation. Regression, Trend, and...
Hoboken: Wiley, 1987. — 458 p.
Measurement Error Models offers coverage of estimation for situations where the model variables are observed subject to measurement error. Regression models are included with errors in the variables, latent variable models, and factor models. Results from several areas of application are discussed, including recent results for nonlinear models and...
John Wiley & Sons, Inc., 2009. — 472 p. — ISBN: 0470454601, 9780470454602. Discover the latest developments and current practices in survey sampling Survey sampling is an important component of research in many fields, and as the importance of survey sampling continues to grow, sophisticated sampling techniques that are both economical and scientifically reliable are essential...
Singapore: Springer, 2018. — 150 p. This book provides a new analytical approach for dynamic data repeatedly measured from multiple subjects over time. Random effects account for differences across subjects. Auto-regression in response itself is often used in time series analysis. In longitudinal data analysis, a static mixed effects model is changed into a dynamic one by the...
Routledge, 2015. — 364 p. — ISBN: 0415890055, 9780415890052 In politics, you begin by asking theoretically interesting questions. Sometimes statistics can help answer those questions. When it comes to applied statistics, students shouldn’t just learn a vast array of formula—they need to learn the basic concepts of statistics as solutions to particular problems. Peter Galderisi...
Routledge, 2023. — 367 p. — (Aviation Fundamentals). — ISBN 978 1032311495. Основы статистики для авиационных исследований This is the first textbook designed to teach statistics to students in aviation courses. All examples and exercises are grounded in an aviation context, including flight instruction, air traffic control, airport management, and human factors. Preface PART...
Cambridge University Press, 2008. — 595 p. — ISBN: 0521874815, 9780521874816. Analysis of Variance Designs presents the foundations of experimental design: assumptions, statistical significance, strength of effect, and the partitioning of the variance. Exploring the effects of one or more independent variables on a single dependent variable as well as two-way and three-way...
Asheboro, NC: Statistical Associates Publishers. 2012. — 53 p. Both curve fitting and nonlinear regression are methods of finding a best-fit line to a set of data points even when the best-fit line is nonlinear. Below, curve-fitting is discussed with respect to the SPSS curve estimation module, obtained by selecting Analyze > Regression > Curve Estimation. This module can compare...
Asheboro, NC: Statistical Associates Publishers, 2013. — 159 p. Univariate GLM is the general linear model now often used to implement such long-established statistical procedures as regression and members of the ANOVA family. It is "general" in the sense that one may implement both regression and ANOVA models. One may also have fixed factors, random factors, and covariates as...
New York: Statistical Associates Publishing, 2013. — 111 p. A study is valid if its measures actually measure what they claim to, and if there are no logical errors in drawing conclusions from the data. There are a great many labels for different types of validity, but they all have to do with threats and biases which would undermine the meaningfulness of research. Researchers...
Springer, 2012. — 203 p. Given their key position in the process control industry, process monitoring techniques have been extensively investigated by industrial practitioners and academic control researchers. Multivariate statistical process control (MSPC) is one of the most popular data-based methods for process monitoring and is widely used in various industrial areas....
CRC Press, 2016. — 275 p. — (Chapman & Hall/CRC Biostatistics Series). — ISBN: 1466570350, 9781466570351. Data Analysis with Competing Risks and Intermediate States explains when and how to use models and techniques for the analysis of competing risks and intermediate states. It covers the most recent insights on estimation techniques and discusses in detail how to interpret...
Hoboken: Wiley, 2018. — 267 p. Kernel smoothing is a flexible nonparametric curve estimation method that is applicable when parametric descriptions of the data are not sufficiently adequate. This book explores theory and methods of kernel smoothing in a variety of contexts, considering independent and correlated data e.g. with short-memory and long-memory correlations, as well as...
Wiley, 2020. — 308 p. — ISBN: 978-1-119-48370-0. An interactive guide to the statistical tools used to solve problems during product and process innovation This book is an accessible guide designed for practitioners in the industrial field. It offers an introduction to data analytics and the design of experiments (DoE) whilst covering the basic statistical concepts useful to an...
McGraw-Hill Professional, 2004. — 352 p. Now anyone with an interest in mastering statistics can do so - without formal training, unlimited time, or a private tutor. In Statistics Demystified, best-selling science and math writer Stan Gibilisco provides an effective, anxiety-soothing, and totally painless way to learn or review statistics fundamentals. With "Statistics...
Springer, 2000. — 286 p.
Independent Component Analysis (ICA) is a fast developing area of intense research interest. Following on from Self-Organising Neural Networks: Independent Component Analysis and Blind Signal Separation, this book reviews the significant developments of the past year.
It covers topics such as the use of hidden Markov methods, the independence...
Springer. 2013. — 360 pages ISBN: 3319000314 The papers in this book cover issues related to the development of novel statistical models for the analysis of data. They offer solutions for relevant problems in statistical data analysis and contain the explicit derivation of the proposed models as well as their implementation. The book assembles the selected and refereed...
ACSESS, 2018. — 1440 p. — ISBN 978-0891183594. Better experimental design and statistical analysis make for more robust science. A thorough understanding of modern statistical methods can mean the difference between discovering and missing crucial results and conclusions in your research, and can shape the course of your entire research career. With Applied Statistics, Barry...
Basel: Birkhäuser, 1999. — 332 p. The study of scan statistics and their applications to many different scientific and engineering problems have received considerable attention in the literature recently. In addition to challenging theoretical problems, the area of scan statis tics has also found exciting applications in diverse disciplines such as archaeol ogy, astronomy,...
Springer, 2024. — 812 p. Preface About the Editors Contributors Research on Probability Models for Cluster of Points Before the Year 1960 Adaptive Likelihood Ratio Scans for the Detection of Space-Time Clusters Adjusted Inference for the Spatial Scan Statistic Approximating the Distribution of the Multiple Scan Statistic Approximations for Discrete Scan Statistics on i.i.d and...
London: Palgrave McMiillan, 2009. — 343 p. This volume contains an accessible discussion examining computationally-intensive techniques and bootstrap methods, providing ways to improve the finite-sample performance of well-known asymptotic tests for regression models. The book uses the linear regression model as a framework for introducing simulation-based tests to help perform...
Springer, 2018. — 284 p. — ISBN: 3662573784. This comprehensive and richly illustrated volume provides up-to-date material on Singular Spectrum Analysis (SSA). SSA is a well-known methodology for the analysis and forecasting of time series. Since quite recently, SSA is also being used to analyze digital images and other objects that are not necessarily of planar or rectangular...
Springer, 2019. — 354 p. — (Statistics and Computing). — ISBN: 3030207897. This book presents an introduction to linear univariate and multivariate time series analysis , providing brief theoretical insights into each topic, and from the beginning illustrating the theory with software examples. As such, it quickly introduces readers to the peculiarities of each subject from...
2nd ed. — John Wiley & Sons, Inc, 2006. — 254 p.
Given a prediction rule based on a set of patients, what is the probability of incorrectly predicting the outcome of a new patient? Call this probability the true error. An optimistic estimate is the apparent error, or the proportion of incorrect predictions on the original set of patients, and it is the goal of this article to...
Качественное пособие для работы со статистическими данными; освещаются наиболее часто встречающиеся ошибки на разных стадиях исследования: от сбора данных до спецификации эконометрической модели и презентации результатов. Даются конкретные практические рекомендации по повышению качества работы исследователя.
Год выпуска: 2003.
Автор: Good P. , Hardin J. / Гуд Ф., Хардин Дж....
3td ed. — Hoboken, New Jersey: Wiley, 2009. — 288 p. This book provides a mathematically rigorous, yet readily accessible foundation in statistics for experienced readers as well as students learning to design and complete experiments, surveys, and clinical trials. Providing a consistent level of coherency throughout, the highly readable Fourth Edition focuses on debunking...
Boston: Birkhäuser, 2005. — 266 p. — ISBN: 978-0-8176-4386-7. Intended for class use or self-study, this text aspires to introduce statistical methodology to a wide audience, simply and intuitively, through resampling from the data at hand. The resampling methods—permutations, cross-validation, and the bootstrap—are easy to learn and easy to apply. They require no mathematics...
4 ed. — John Wiley & Sons, 2012. — 336 p. — ISBN: 978-1-118-29439-0 Common Errors in Statistics (and How to Avoid Them), Fourth Edition provides a mathematically rigorous, yet readily accessible foundation in statistics for experienced readers as well as students learning to design and complete experiments, surveys, and clinical trials. Providing a consistent level of coherency...
Wiley-Interscience – 2005, 245 pages
ISBN: 0471731919, 9780471731917
Learn statistical methods quickly and easily with the discovery method
With its emphasis on the discovery method, this publication encourages readers to discover solutions on their own rather than simply copy answers or apply a formula by rote. Readers quickly master and learn to apply statistical methods,...
Hoboken: Wiley, 2016. - 500p.
This book provides a first course on parameter estimation (point estimates and confidence interval estimates), hypothesis testing, ANOVA and simple linear regression. The authors approach combines mathematical depth with numerous examples and demonstrations using the JMP software.
A first course on basic statistical methodology using JMP
Provides...
London: Routledge, 2012. — 742 p. — ISBN: 9780415875363. Applied Statistics for the Social and Health Sciences provides graduate students in the social and health sciences with the basic skills that they need to estimate, interpret, present, and publish statistical models using contemporary standards. The book targets the social and health science branches such as human...
New York: Springer, 2008. — 496 p. Statistical implicative analysis is a data analysis method created by Regis Gras almost thirty years ago which has a significant impact on a variety of areas ranging from pedagogical and psychological research to data mining. Statistical implicative analysis (SIA) provides a framework for evaluating the strength of implications; such...
New York: Nova Science Publishers, Inc., 2017. — 154 p. This book provides new research on principal component analysis (PCA). Chapter One introduces typical PCA applications of transcriptomic, proteomic and metabolomic data. Chapter Two studies the factor analysis of an outcome measurement survey for science, technology and society. Chapter Three examines the application of...
Cambridge: Cambridge University Press, 2008. — 402 p.
Presenting a thorough overview of the theoretical foundations of non-parametric system identification for nonlinear block-oriented systems, this books shows that non-parametric regression can be successfully applied to system identification, and it highlights the achievements in doing so. With emphasis on Hammerstein, Wiener...
CRC Press, Taylor & Francis Group, 2019. — 136 p. — (Chapman & HALL/CRC, Interdisciplinary Statistics Series). — ISBN: 1138316431. Compositional Data Analysis in Practice is a user-oriented practical guide to the analysis of data with the property of a constant sum, for example percentages adding up to 100%. Compositional data can give misleading results if regular statistical...
Second Edition. — N.-Y.: Chapman & Hall/CRC, 2007. — 296 p. — ISBN: 978-1-58488-616-7.
Drawing on the author’s experience in social and environmental research, Correspondence Analysis in Practice, Second Edition shows how the versatile method of correspondence analysis (CA) can be used for data visualization in a wide variety of situations. This completely revised, up-to-date...
3rd Ed. — Chapman and Hall/CRC, 2016. — 423 p. — (Chapman & Hall/CRC Interdisciplinary Statistics). — ISBN10: 1498731775. — ISBN13: 978-1498731775. Drawing on the author’s 45 years of experience in multivariate analysis, Correspondence Analysis in Practice, Third Edition, shows how the versatile method of correspondence analysis (CA) can be used for data visualization in a wide...
Wiley, 1996. — 280 p. Chi-squared testing is one of the most commonly applied statistical techniques. It provides reliable answers for researchers in a wide range of fields, including engineering, manufacturing, finance,agriculture, and medicine. A Guide to Chi-Squared Testing brings readers up to date on recent innovations and important material previously published only in...
Washington: American Psychological Association (APA), 2000. — 437 p. — ISBN: 1-55798-698-3. Since 1995, over 13,000 graduate students and researchers have relied on Reading and Understanding Multivariate Statistics for a basic understanding of the most commonly used multivariate analyses in the research literature today. In Reading and Understanding MORE Multivariate...
NY: Springer, 2013. — 433 p. — (Springer Series in Statistics 297). — ISBN: 978-1-4614-5368-0. Nonparametric function estimation with stochastic data, otherwise known as smoothing, has been studied by several generations of statisticians. Assisted by the ample computing power in today's servers, desktops, and laptops, smoothing methods have been finding their ways into everyday...
Apress, 2018. — 415 p. — ISBN: 9781484235249, EISBN 9781484235256. Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language. This book is ideal for those who are well-versed in writing code and have a basic understanding of statistics, but have...
New York: Chapman and Hall/CRC, 2004. — 193 p. Mismeasurement of explanatory variables is a common hazard when using statistical modeling techniques, and particularly so in fields such as biostatistics and epidemiology where perceived risk factors cannot always be measured accurately. With this perspective and a focus on both continuous and categorical variables, Measurement...
New York: Springer, 2016. — 144 p.
This book endeavours to give a concise contribution to understanding the data assimilation and related methodologies. The mathematical concepts and related algorithms are fully presented, especially for those facing this theme for the first time.
The first chapter gives a wide overview of the data assimilation steps starting from Gauss' first...
American Mathematical Society, 2014. — 394 p. This book introduces functional analysis at an elementary level without assuming any background in real analysis, for example on metric spaces or Lebesgue integration. It focuses on concepts and methods relevant in applied contexts such as variational methods on Hilbert spaces, Neumann series, eigenvalue expansions for compact...
Springer. 1996. — 490 p. — ISBN: 1441928502.
Advanced Statistics provides a rigorous development of statistics that emphasizes the definition and study of numerical measures that describe population variables. Volume 1 studies properties of commonly used descriptive measures. Volume 2 considers use of sampling from populations to draw inferences concerning properties of...
Springer, 2021. — 350 p. — ISBN 978-3-030-74651-3. This book provides a comprehensive and concrete illustration of time series analysis focusing on the state-space model, which has recently attracted increasing attention in a broad range of fields. The major feature of the book lies in its consistent Bayesian treatment regarding whole combinations of batch and sequential...
John Wiley & Sons, 1991. — 410 p. Presents a detailed exposition of statistical intervals and emphasizes applications in industry. The discussion differentiates at an elementary level among different kinds of statistical intervals and gives instruction with numerous examples and simple math on how to construct such intervals from sample data. This includes confidence intervals...
2nd. ed. - Routledge, 2024. - 876 p. - ISBN 103227607X. This second edition of Applied Multivariate Statistical Concepts covers the classic and cutting-edge multivariate techniques used in today’s research. Through clear writing and engaging pedagogy and examples using real data, Hahs-Vaughn walks students through the most used methods to learn why and how to apply each...
Oxford: Oxford University Press, 2018. — 169 p. — (Understanding Statistics). — ISBN: 978–0–19–022205–5. The Philosophy of Quantitative Methods focuses on the conceptual foundations of research methods within the behavioral sciences. In particular, it undertakes a close philosophical examination of a variety of quantitative research methods that are prominent in (or relevant...
7th Edition. — Boston: Pearson, 2010. — 816 p. — ISBN: 0138132631 / 9780138132637. For graduate and upper-level undergraduate marketing research courses. For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. Hair et. al provides an applications-oriented introduction to multivariate analysis for the...
Pearson, 2014. — 752 p. For graduate and upper-level undergraduate marketing research courses. For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. Hair et. al provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research...
7th ed. — Prentice Hall, 2009. — 761 p. This book provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques. In this seventh revision, the organization of the...
8th ed. — Cengage Learning EMEA, 2019. — 833 p. — ISBN: 1473756545. For over 30 years , this text has provided students with the information they need to understand and apply multivariate data analysis . The eighth edition of Multivariate Data Analysis provides an updated perspective on the analysis of all types of data as well as introducing some new perspectives and...
Boston: The MIT Press, 2016. — 229 p. — ISBN: 9780262035026. Causality plays a central role in the way people structure the world; we constantly seek causal explanations for our observations. But what does it even mean that an event C "actually caused" event E? The problem of defining actual causation goes beyond mere philosophical speculation. For example, in many legal...
Charlotte: Information Age Publishing, 2019. — 276 p. What is latent class analysis? If you asked that question thirty or forty years ago you would have gotten a different answer than you would today. Closer to its time of inception, latent class analysis was viewed primarily as a categorical data analysis technique, often framed as a factor analysis model where both the...
Information Age Publishing, 2007. — 383 p. — ISBN: 978-1-59311-847-1. The current volume, Advances in Latent Variable Mixture Models, contains chapters by all of the speakers who participated in the 2006 CILVR conference, providing not just a snapshot of the event, but more importantly chronicling the state of the art in latent variable mixture model research. The volume starts...
New York: Springer, 1996. — 231 p. Multivariate analysis of variance Univariate analysis of variance Regression methods Random effects models Covariance structures Continuous non-normal measures: Gaussian estimation Nonlinear models Generalized linear models and maximum quasi-likelihood estimation Binary and categorical measures Relationships between methods
Cambridge: Cambridge University Press, 1987. — 201 p. This book presents the human side of statistical consulting and illustrates the problems and opportunities that can arise for the modern consultant. Statistical problems occur in almost all areas of science, in medicine, in industry, in marketing, and in finance, and a wide range of interests is catered for by the twelve...
Oxford: Oxford University Press, 2019. — 360 p. Sampling theory considers how methods for selection of a subset of units from a finite population (a sample) affect the accuracy of estimates of descriptive population parameters (mean, total, proportion). Although a sound knowledge of sampling theory principles would seem essential for ecologists and natural resource scientists,...
Cobenhavn: Technical University of Denmark, 2017. — 175 p. As one of the classical statistical regression techniques, and often the first to be taught to new students, least squares fitting can be a very effective tool in data analysis. Given measured data, we establish a relationship between independent and dependent variables so that we can use the data predictively. The main...
SpringerVerlag New York, 1995. — 405 p. — ISBN: 9781461286998, 9781461242147. This book describes an interactive statistical computing environment called 1 XploRe. As the name suggests, support for exploratory statistical analysis is given by a variety of computational tools. XploRe is a matrix-oriented statistical language with a comprehensive set of basic statistical...
Berlin, Heidelberg: Springer-Verlag, 2015. — 580 p. Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in multivariate data analysis in a style that is also accessible for non-mathematicians and practitioners. It surveys the basic principles and emphasizes both exploratory and inferential statistics; a new chapter on Variable...
Tech, 2003. — 488 p. Most of the observable phenomena in the empirical sciences are of multivariate nature. This book presents the tools and concepts of multivariate data analysis with a strong focus on applications. The text is devided into three parts. The first part is devoted to graphical techniques describing the distributions of the involved variables. The second part...
Berlin: Springer, 2016. — 516 p.
MM*Stat, together with its enhanced online version with interactive examples, offers a flexible tool that facilitates the teaching of basic statistics. It covers all the topics found in introductory descriptive statistics courses, including simple linear regression and time series analysis, the fundamentals of inferential statistics (probability...
3rd Edition. — Sringer, 2012. — 533 pages. — ISBN: 3642172288. Most of the observable phenomena in the empirical sciences are of a multivariate nature. In financial studies, assets are observed simultaneously and their joint development is analysed to better understand general risk and to track indices. In medicine recorded observations of subjects in different locations are...
2nd Edition. — Springer, 2007. — 455 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...
5th edition. — New York: 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...
6th. ed. - Springer, 2024. - 610 p. - ISBN 3031638328. Now in its sixth edition , this textbook presents the tools and concepts used in multivariate data analysis in a style accessible for non-mathematicians and practitioners . Each chapter features hands-on exercises that showcase applications across various fields of multivariate data analysis. These exercises utilize...
Philadelphia: SAGE Publications, Inc, 2020. — 1560 p. Drawing on examples from across the social and behavioral sciences, Statistics with R: Solving Problems Using Real-World Data by Jenine K. Harris introduces foundational statistics concepts with beginner-friendly R programming in an exploration of the world’s tricky problems faced by the "R Team" characters. Inspired by the...
Hoboken: John Wiley & Sons, Inc., 2008. — 247 p. An accessible introduction to performing meta-analysis across various areas of research. The practice of meta-analysis allows researchers to obtain findings from various studies and compile them to verify and form one overall conclusion. Statistical Meta-Analysis with Applications presents the necessary statistical methodologies...
2nd edition. — Springer Nature Switzerland AG, 2022. — 336 p. — (Statistics and Computing). — eBook ISBN 978-3-030-97371-1. Now in its second edition, this textbook provides an introduction to Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from...
2nd edition. — New York: Guilford Publications, 2018. — 714 p. Lauded for its easy-to-understand, conversational discussion of the fundamentals of mediation, moderation, and conditional process analysis, this book has been fully revised with 50% new content, including sections on working with multicategorical antecedent variables, the use of PROCESS version 3 for SPSS and SAS for...
London: Routledge, 2005. - 536p.
Statistical Methods for Communication Science focuses on statistics as used and applied in communication research. Writing in a straightforward, personal style, author Andrew F. Hayes offers this accessible and thorough introduction to statistical methods, starting with the fundamentals of measurement and moving on to discuss such key topics as...
3rd edition. — The Guilford Press, 2022. — 740 p. — ISBN 9781462549030. Acclaimed for its thorough presentation of mediation, moderation, and conditional process analysis, this book has been updated to reflect the latest developments in PROCESS for SPSS, SAS, and, new to this edition, R. Using the principles of ordinary least squares regression, Andrew F. Hayes illustrates each...
2nd edition. — New York: Chapman and Hall/CRC, 2017. — 425 p. Cluster Randomised Trials, Second Edition discusses the design, conduct, and analysis of trials that randomise groups of individuals to different treatments. It explores the advantages of cluster randomisation, with special attention given to evaluating the effects of interventions against infectious diseases....
Springer, 2016. — 324 p. — (Statistics). — ISBN: 3319412574, 9783319412573 EISBN: 9783319412597
Includes software and data sets so readers may replicate analyses
Contains much needed coverage of recent developments in causal inference
Begins with an introduction to the concept of potential outcomes as applicable to causal inference concepts, models, and assumptions
This...
Springer, 2022. — 338 p. — (ICSA Book Series in Statistics). — ISBN 978-3-031-08328-0. This book covers a variety of topics, including methodology development in Data Science, such as methodology in the analysis of high dimensional data, feature screening in ultra-high dimensional data and natural language ranking; statistical analysis challenges in sampling, multivariate...
3rd. ed. - Springer, 2024. - 1055 p. - ISBN 3662700735. This standard work on statistical methods in life sciences and medicine provides easily understandable, illustrative, and practical guidance to students, lecturers and practitioners alike, covering all necessary methods for targeted and careful data collection, analysis, and evaluation . In addition to offering advice and...
N.-Y.: Wiley, 2006. — 358 p. — ISBN: 0471420271, 9780471420279.
Longitudinal data analysis for biomedical and behavioral sciences This innovative book sets forth and describes methods for the analysis of longitudinal data, emphasizing applications to problems in the biomedical and behavioral sciences. Reflecting the growing importance and use of longitudinal data across many...
Second Edition. — Berlin: Springer, 2016. — 898 p.
New edition features color throughout, reworking of the material to emphasize R (but also utilize SAS), and new material
New chapters include Ch. 19 on Likert Scale Data to pick up on the importance of rating scales in fields from population studies to phsychometrics and Ch. 20 on Medical, Pharmaceutical and Social Science...
Cambridge: Cambridge University Press, 2015. — 1218 p. The second edition of this popular book brings students fully up to date with the latest methods and techniques in choice analysis. Comprehensive yet accessible, it offers a unique introduction to anyone interested in understanding how to model and forecast the range of choices made by individuals and groups. In addition to...
Butterworths, 1960. — 440 с. Книга посвящена статистическому анализу малых частиц, описаны методы обработки данных, методы счета. Затронуты экспериментальные и теоретические области статистика частиц.
New York: Springer, 2019. — 146 p. This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part...
Sacramento: Jim Higgins, Ed.D., 2010. — 374 p. The goal of this book is to introduce you to the many ways that statistics can be used to solve practical, real world problems. Examples deal with topics as varied as valuating mental health treatment facilities, testing new drugs, valuating the likelihood of a convicted criminal’s reoffending after parole, hiring the best personnel,...
Cambridge: Cambridge University Press, 2014. — 299 p.
This entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data. Written for researchers with little or no background in advanced statistics, the book presents treatments of all major models using numerous tables, insets, and detailed modeling suggestions. It begins...
New York: Chapman and Hall / CRC Press, 2015. — 163 p. — ISBN: 978-1-4987-0958-3. Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly to model a binary response variable. This powerful methodology can be used to analyze data from various fields, including medical and health outcomes research,...
Springer, 2022. — 94 p. — (Synthesis Lectures on Mathematics & Statistics). — ISBN 978-3-031-04201-0. Статистическая проверка гипотез с помощью Microsoft Office Excel This book provides a comprehensive treatment of the logic behind hypothesis testing. Readers will learn to understand statistical hypothesis testing and how to interpret P-values under a variety of conditions...
New York: Chapman and Hall/CRC, 1994. — 272 p. This book focuses on computer intensive statistical methods, such as validation, model selection, and bootstrap, that help overcome obstacles that could not be previously solved by methods such as regression and time series modelling in the areas of economics, meteorology, and transportation. Prelude Computer intensive philosophy...
N-Y.: Wiley, 2006. - 527p. This newly available and affordably priced paperback version of Exploring Data Tables, Trends, and Shapes presents major advances in exploratory data analysis and robust regression methods and explains the techniques, relating them to classical methods. The book addresses the role of exploratory and robust techniques in the overall data-analytic...
Hoboken: Wiley, 1982. — 472 p. Originally published in hardcover in 1982, this book is now offered in a Wiley Classics Library edition. A contributed volume, edited by some of the preeminent statisticians of the 20th century, Understanding of Robust and Exploratory Data Analysis explains why and how to use exploratory data analysis and robust and resistant methods in...
N.-Y.: Wiley, 1991. — 456 p.
The analysis of variance is presented as an exploratory component of data analysis, while retaining the customary least squares fitting methods. Balanced data layouts are used to reveal key ideas and techniques for exploration. The approach emphasizes both the individual observations and the separate parts that the analysis produces. Most chapters...
Springer, 2023. — 310 p. — (Springer Series in Reliability Engineering). — ISBN 978-3-031-21231-4. This book discusses practical applications of reliability and statistical methods and techniques in various disciplines, using Machine Learning, Artificial Intelligence, optimization, and other computation methods. Bringing together research from international experts, each...
Cham: Springer Nature, 2020. — 325 p. This book presents the latest developments in both qualitative and quantitative computational methods for reliability and statistics, as well as their applications. Consisting of contributions from active researchers and experienced practitioners in the field, it fills the gap between theory and practice and explores new research challenges...
N.-Y.: Routledge, 2014. - 654p. Longitudinal Analysis provides an accessible, application-oriented treatment of introductory and advanced linear models for within-person fluctuation and change. Organized by research design and data type, the text uses in-depth examples to provide a complete description of the model-building process. The core longitudinal models and their...
New York: Wiley, 1984. — 240 p. Devoted to the problem of fitting parametric probability distributions to data, this treatment uniquely unifies loss modeling in one book. Data sets used are related to the insurance industry, but can be applied to other distributions. Emphasis is on the distribution of single losses related to claims made against various types of insurance...
Neural Networks Research Centre, 2002, -22 pp.
Решения более 30 задач из книги Hyvärinen A., Karhunen J., Oja E. Independent Component Analysis (/file/604765)
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Springer, 2015. — 383 p. Modern imaging techniques and computational simulations yield complex multi-valued data that require higher-order mathematical descriptors. This book addresses topics of importance when dealing with such data, including frameworks for image processing, visualization and statistical analysis of higher-order descriptors. It also provides examples of the...
Wadsworth Publishing, 2010. — 652 p. — ISBN: 0495811254, 0840032978.
David Howell's practical approach focuses on the context of statistics in behavioral research, with an emphasis on looking before leaping; investigating the data before jumping into a test. This provides you with an understanding of the logic behind the statistics: why and how certain methods are used rather...
Wadsworth, Cengage Learning, 2013. – 676 p. in color – 8th ed. – ISBN: 1285076915, 9781285076911 Fundamental Statistics for the Behavioral Sciences focuses on providing the context of statistics in behavioral research, while emphasizing the importance of looking at data before jumping into a test. This practical approach provides readers with an understanding of the logic...
Springer Science+Business Media, 1996. — 277 p. — ISBN: 978-0-412-98281-1. Multiple Comparisons introduces simultaneous statistical inference and covers the theory and techniques for all-pairwise comparisons, multiple comparisons with the best, and multiple comparisons with a control. The author describes confidence intervals methods and stepwise exposes abuses and...
Springer, 2024. — 106 p. This book comprehensively covers various causal mediation analysis (CMA) methods developed across multiple fields, organizing them into a reader-friendly progression of methodological advancements. Interest in the mechanisms that form causal relationships is widespread across various fields, including sociology, demography, economics, political science,...
Springer, 2022. — 376 p. — (Statistics and Computing). — ISBN 3031135830. This textbook presents methods and techniques for time series analysis and forecasting and shows how to use Python to implement them and solve data science problems. It covers not only common statistical approaches and time series models, including ARMA, SARIMA, VAR, GARCH and state space and Markov...
Boca Raton: CRC Press, 2015. - 250p.
Exact sampling, specifically coupling from the past (CFTP), allows users to sample exactly from the stationary distribution of a Markov chain. During its nearly 20 years of existence, exact sampling has evolved into perfect simulation, which enables high-dimensional simulation from interacting distributions.
Perfect Simulation illustrates...
Oxford: Oxford University Press, 2017. — 384 p. Nonlinear Time Series Analysis with R provides a practical guide to emerging empirical techniques allowing practitioners to diagnose whether highly fluctuating and random appearing data are most likely driven by random or deterministic dynamic forces. It joins the chorus of voices recommending 'getting to know your data' as an...
Springer, 2018. — 108 p. — (SpringerBriefs in Statistics). — ISBN: 3319980289. This book presents recent results in finite mixtures of skewed distributions to prepare readers to undertake mixture models using scale mixtures of skew normal distributions (SMSN). For this purpose, the authors consider maximum likelihood estimation for univariate and multivariate finite mixtures...
Wiley, 2012. — 299 p. — (Wiley Series in Survey Methodology). — ISBN: 978-1-119-97815-2. A reference to answer all your statistical confidentiality questions. This handbook provides technical guidance on statistical disclosure control and on how to approach the problem of balancing the need to provide users with statistical outputs and the need to protect the confidentiality of...
2nd Edition. — CRC Press, 2017. — 262 p. — ISBN: 978-1-1381-9634-6. Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are...
John Wiley, 2001. — 505 p. Independent component analysis (ICA) is a statistical and computational technique for revealing hidden factors that underlie sets of random variables, measurements, or signals. ICA defines a generative model for the observed multivariate data, which is typically given as a large database of samples. In the model, the data variables are assumed to be...
Milwaukee: ASQC Quality Press, 1993. — 77 p. Outliers are the key focus of this book. The authors concentrate on the practical aspects of dealing with outliers in the forms of data that arise most often in applications: single and multiple samples, linear regression, and factorial experiments.
Houston, Texas, USA: Rice University, OpenStax, 2013. — 852 p. — ISBN13: 978-1-938168-20-8. 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...
Houston: Rice University, Open Stax, 2017. — 909 p. Sampling and Data Descriptive Statistics Probability Topics Discrete Random Variables Continuous Random Variables The Normal Distribution The Central Limit Theorem Confidence Intervals Hypothesis Testing with One Sample Hypothesis Testing with Two Samples The Chi-Square Distribution Linear Regression and Correlation F...
Cambridge: Cambridge University Press, 2015. - 644p.
Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. This book starts with the notion of potential...
Oxford: Oxford University Press, 2023. — 519 p. — ISBN 9780192859013. To date, statistics has tended to be neatly divided into two theoretical approaches or frameworks: frequentist (or classical) and Bayesian. Scientists typically choose the statistical framework to analyse their data depending on the nature and complexity of the problem, and based on their personal views and...
New York: Routledge, 2019. — 280 p. Item response theory (IRT) is widely used in education and psychology and is expanding its applications to other social science areas, medical research, and business as well. Using R for Item Response Theory Model Applications is a practical guide for students, instructors, practitioners, and applied researchers who want to learn how to properly...
Academic Press, Elsevier, 1991. — 432 p. — ISBN: 9780080923673; ISBN: 9780123800909. With a useful index of notations at the beginning, this book explains and illustrates the theory and application of data analysis methods from univariate to multidimensional and how to learn and use them efficiently. This book is well illustrated and is a useful and well-documented review of...
Springer, 2023. - 210 p. - ISBN 3662667851. What does this p-value actually mean ? And what is a significant result ? This book provides a compact and comprehension-oriented introduction to inferential statistics and answers questions like these. One focus is on the logic underlying inferential statistics and h ypothesis testing : Readers learn the most commonly used procedures...
New York: Bernan Press, 2017. — 189 p. Created for those who have little experience with statistics, or for those who need to keep a concise reference book on hand, this newly updated handbook provides an introductory guide to basic statistics and data analysis. Using step-by-step methods and both examples and applications common to safety professionals, including loss control...
N.-Y.: Wiley, 2015. — 200 p. — ISBN: 978-1118856116.
Features basic statistical concepts as a tool for thinking critically, wading through large quantities of information, and answering practical, everyday questions
Written in an engaging and inviting manner, Beyond Basic Statistics: Tips, Tricks, and Techniques Every Data Analyst Should Know presents the more subjective...
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...
New York: Springer, 2018. — 220 p. This book presents the most important ideas behind Bayes’ Rule in a form suitable for the general reader. It is written without formulae because they are not necessary; the ability to add and multiply is all that is needed. As well as showing in full the application of Bayes’ Rule to some quantitatively simple, though not trivial, examples, the...
Springer Science+Business Media New York. 2013. - 275 pages. ISBN10: 1461487145. Panel count data occur in studies that concern recurrent events, or event history studies, when study subjects are observed only at discrete time points. By recurrent events, we mean the event that can occur or happen multiple times or repeatedly. Examples of recurrent events include disease...
Springer, 2010. — 609 p. — (Springer Texts in Statistics). — ISBN 978-1-4419-6826-5. This book offers a comprehensive guide to large sample techniques in statistics. More importantly, it focuses on thinking skills rather than just what formulae to use; it provides motivations, and intuition, rather than detailed proofs; it begins with very simple techniques, and connects theory...
Springer, 2016. — 218 p. — ISBN: 978-3-319-42570-2. Selected Papers from the 2014 ICSA/KISS Joint Applied Statistics Symposium in Portland, Oregon. The papers in this volume represent the most timely and advanced contributions to the 2014 Joint Applied Statistics Symposium of the International Chinese Statistical Association (ICSA) and the Korean International Statistical...
New York: Springer, 1991. — 645 p. An easy to read survey of data analysis, linear regression models and analysis of variance. The extensive development of the linear model includes the use of the linear model approach to analysis of variance provides a strong link to statistical software packages, and is complemented by a thorough overview of theory. It is assumed that the...
Pacific Grove: Duxbury Press, 1998. — 584 p. Statisticians and nonstatisticians alike will appreciate this modern and comprehensive new book on multivariate statistical methods that utilizes statistical computing packages throughout. Author Dallas Johnson uses real-life examples and explains the "when to," "why to," and "how to" of numerous multivariate methods, stressing the...
Prentice Hall, 2002. — 788 p. This market-leading book offers a readable introduction to the statistical analysis of multivariate observations. Its overarching goal is to provide readers with the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Chapter topics include aspects of multivariate analysis, matrix...
New Jersey, Pearson, 2007. — 773 p. This market-leading book offers a readable introduction to the statistical analysis of multivariate observations. Its overarching goal is to provide readers with the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Chapter topics include aspects of multivariate analysis,...
Pearson Prentice Hall, 2007. — 794 p. This market leader offers a readable introduction to the statistical analysis of multivariate observations. Gives readers the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Starts with a formulation of the population models, delineates the corresponding sample results,...
Pearson, 2014. — 775 p. — 6th ed. — ISBN: 1292024941, 1299960308, 9781292024943 For courses in Multivariate Statistics, Marketing Research, Intermediate Business Statistics, Statistics in Education, and graduate-level courses in Experimental Design and Statistics. Appropriate for experimental scientists in a variety of disciplines, this market-leading text offers a readable...
Solution key to Applied Multivariate Statistical Analysis Pearson, 2014. 6th ed. by Johnson R.A., Wichern D.W. 369 p. Aspects of Multivariate Analysis Matrix Algebra and Random Vectors Sample Geometry and Random Sampling THe Multivariate Normal Distribution Inferences about a mean vector Comparisons of Several Multivariate Means Multivariate Linear Regression Models Principal...
6th edition. — Pearson Prentice Hall, 2007. — 773 p. This market leader offers a readable introduction to the statistical analysis of multivariate observations. Gives readers the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Starts with a formulation of the population models, delineates the corresponding...
New York: Springer, 2016. — 561 p.
This book traces the theory and methodology of multivariate statistical analysis and shows how it can be conducted in practice using the LISREL computer program. It presents not only the typical uses of LISREL, such as confirmatory factor analysis and structural equation models, but also several other multivariate analysis topics, including...
Springer, 2017. — 530 p. — ISBN: 978-3-319-52826-7. This book provides a self-contained presentation of the statistical tools required for evaluating public programs, as advocated by many governments, the World Bank, the European Union, and the Organization for Economic Cooperation and Development. After introducing the methodological framework of program evaluation, the first...
3rd Edition. — London: Routledge, 2017. — 379 p. Data Analysis: A Model Comparison Approach to Regression, ANOVA, and Beyond is an integrated treatment of data analysis for the social and behavioral sciences. It covers all of the statistical models normally used in such analyses, such as multiple regression and analysis of variance, but it does so in an integrated manner that...
Princeton University Press, 2020. — 656 p. — (Princeton Series in Applied Mathematics). — ISBN: 978-0-691-19729-6. This authoritative book draws on the latest research to explore the interplay of high-dimensional statistics with optimization. Through an accessible analysis of fundamental problems of hypothesis testing and signal recovery, Anatoli Juditsky and Arkadi Nemirovski...
New York: Chapman and Hall/CRC, 2017. — 349 p. A fair question to ask of an advocate of subjective Bayesianism (which the author is) is "how would you model uncertainty?" In this book, the author writes about how he has done it using real problems from the past, and offers additional comments about the context in which he was working. Bayesian paleoethnobotany Statistical...
Boca Raton: CRC Press, 2025. — 320 p. Applied Statistics with Python: Volume I: Introductory Statistics and Regression concentrates on applied and computational aspects of statistics, focusing on conceptual understanding and Python-based calculations. Based on years of experience teaching introductory and intermediate Statistics courses at Touro University and Brooklyn College,...
2nd Edition. — Elsevier, 2018. — 169 p. — ISBN: 978-0-12-814348-3. This book, Second Edition, presents common strategies for comparing and evaluating numerical laboratory data. In particular, the text deals with the type of data and problems that laboratory scientists and students in analytical chemistry, clinical chemistry, epidemiology, and clinical research face on a daily...
Elsevier, 2013. — 139 p. — ISBN: 0124169716.
Laboratory Statistics: Handbook of Formulas and Terms presents common strategies for comparing and evaluating numerical laboratory data. In particular, the text deals with the type of data and problems that laboratory scientists and students in analytical chemistry, clinical chemistry, epidemiology, and clinical research face on a...
Springer, 2011. — 118 p. — (Springer Briefs in Statistics). — ISBN: 3642235018. The text gives a concise introduction into fundamental concepts in statistics. Chapter 1: Short exposition of probability theory, using generic examples. Chapter 2: Estimation in theory and practice, using biologically motivated examples. Maximum-likelihood estimation in covered, including Fisher...
Wiley, 2011. — 257 p. — ISBN: 9780470889497, 9781118491751. This book is an introductory book on improving the quality of a process or a system, primarily through the technique of statistical process control (SPC). There are numerous technical manuals available for SPC, but this book differs in two ways: (1) the basic tools of SPC are introduced in a no-nonsense, simple,...
3rd edition. — SAGE Publications, 2006. — 242 p. This expanded and updated Third Edition of Gopal Kanji's best-selling resource on statistical tests covers all the most commonly used tests with information on how to calculate and interpret results with simple datasets. Each entry begins with a short summary statement about the test's purpose, and contains details of the test...
Springer, 2005. — 395 p. — ISBN: 3540211152, 9783540211150
This is a blend of theory and practical statistical methods written for graduate students and researchers interested in application to plasma physics or to experimental setups. In the first part the history of the subject is described and many exercises help to understand the concepts. In the second part case studies...
New York: Morgan & Claypool, 2021. — 76 p. Statistics is the activity of inferring results about a population given a sample. Historically, statistics books assume an underlying distribution to the data (typically, the normal distribution) and derive results under that assumption. Unfortunately, in real life, one cannot normally be sure of the underlying distribution. For that...
Academic Press, 1977. — 233 p. — (Mathematics in Science & Engineering 124). — ISBN: 0-12-402370-3. The notion of a system is found in all organizations of the living world and of the world created by men. The analysis of complex systems with numerous elements, often interdependent, involves the use of methods that are not yet sufficiently general and that are often too...
Boca Raton: CRC Press, 2024. — 444 p. The third edition of the bestselling Classification Methods for Remotely Sensed Data covers current state-of-the-art machine learning algorithms and developments in the analysis of remotely sensed data. This book is thoroughly updated to meet the needs of readers today and provides six new chapters on deep learning, feature extraction and...
N.-Y.: Wiley, 1999. - 309p.
The statistical theory of shape is a relatively new topic and is generating a great deal of interest and comment by statisticians, engineers and computer scientists. Mathematically, 'shape' is the geometrical information required to describe an object when location, scale and rotational effects are removed. The theory was pioneered by Professor David...
3rd edition. — Wiley, 2021. — 883 p. — (Statistics in Practice). — ISBN 978-1119714903. The new edition of the prime reference on the tools of statistics used in industry and services, integrating theoretical, practical, and computer-based approaches Modern Industrial Statistics is a leading reference and guide to the statistics tools widely used in industry and services....
Springer, 2023. — 486 p. This innovative textbook presents material for a course on industrial 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...
Praeger, 1992. — 160 p. During the 1980s, the use of log-linear statistical models in behavioral and life-science inquiry increased markedly. Concurrently, log-linear theory, developed largely during the previous decade, has been streamlined and refined. An aim of this second edition is to acquaint old and new readers with these refinements. The most significant change that has...
Cambridge University Press, 2014. — 298 p. — ISBN: 9781107019560
The case-control approach is a powerful method for investigating factors that may explain a particular event. It is extensively used in epidemiology to study disease incidence, one of the best-known examples being Bradford Hill and Doll's investigation of the possible connection between cigarette smoking and lung...
Springer, 2020. — 294 p. — (Statistics for Biology and Health). — ISBN: 981155031-7. This book focuses on performing hands-on meta-analysis using MetaXL, a free add-on to MS Excel. The illustrative examples are taken mainly from medical and health sciences studies, but the generic methods can be used to perform meta-analysis on data from any other discipline. The book adopts a...
Wiley, 2017. — 603 p. — ISBN: 978-1-119-38350-5. The first statistics guide focussing on practical application to process control design and maintenance Statistics for Process Control Engineers is the only guide to statistics written by and for process control professionals. It takes a wholly practical approach to the subject. Statistics are applied throughout the life of a...
Palgrave Macmillan, 2024. — 255 p. — ISBN 3031531418. This accessible textbook introduces the foundations of applied econometrics and statistics for undergraduate students. It covers key topics in econometrics by using step-by-step examples in Gretl and R , providing a guide to using statistical software and the tools for econometric analysis in one self-contained resource....
New York: Cengage Learning, 2013. — 1074 p. Concepts and Examples of Research Concepts Examples Concluding Remarks Classification of Variables and the Choice of Analysis Classification of Variables Overlapping of Classification Schemes Choice of Analysis Basic Statistics A Review Preview Descriptive Statistics Random Variables and Distributions Sampling Distributions of t, x,...
New York: Springer, 2016. — 384 p. This book presents methods for investigating whether relationships are linear or nonlinear and for adaptively fitting appropriate models when they are nonlinear. Data analysts will learn how to incorporate nonlinearity in one or more predictor variables into regression models for different types of outcome variables. Such nonlinear dependence...
Boca Raton: CRC Press, 2017. — 290 p. — (Texts in Statistical Science Series). — ISBN: 978-1-498-74634-2. Systematically develops core methodology of functional data analysis Covers recent developments, including sparsely observed and dependent functions Rigorously develops requisite mathematical concepts Uses R for numerical examples and provides a dedicated R package Each...
New York: Springer, 2017. — 333 p. — ISBN: 978-981-10-2913-4. This book not only provides a comprehensive introduction to neural-based PCA methods in control science, but also presents many novel PCA algorithms and their extensions and generalizations, e.g., dual purpose, coupled PCA, GED, neural based SVD algorithms, etc. It also discusses in detail various analysis methods...
Bosa Rosa: CRC Press, 2013. — 193 p. Hypotheses Testing for Two Samples Hypotheses Testing for Several Samples Tests for Categorical Data Nonparametric Regression Nonparametric Generalized Additive Regression Time-to-Event Analysis Univariate Probability Density Estimation Resampling Methods for Interval Estimation Tables Answers to Exercises Recommended Books Back Cover
Bosa Rosa: CRC Press, 2013. — 113 p. Hypotheses Testing for Two Samples Hypotheses Testing for Several Samples Tests for Categorical Data Nonparametric Regression Nonparametric Generalized Additive Regression Time-to-Event Analysis Univariate Probability Density Estimation Resampling Methods for Interval Estimation Tables Answers to Exercises Recommended Books Back Cover
6th ed. — Gabler, 2016. — 364 p. — ISBN: 978-3-658-13640-6. Statistik ist die Lehre von Methoden der Gewinnung, Auswertung und Interpretation von Daten über die Wirklichkeit. Dieses Lehrbuch vermittelt anwendungsorientiert die Verfahren der Deskriptiven Statistik, wie sie in den Wirtschafts- und Sozialwissenschaften an Universitäten und Fachhochschulen gelehrt werden. Ein...
John Wiley & Sons, Inc., 2017. — 263 p. — ISBN: 9781119296331 Features an integrated approach of statistical scenarios and simulations to aid readers in developing key intuitions needed to understand the wide ranging concepts and methods of statistics and inference Illuminating Statistical Analysis Using Scenarios and Simulations presents the basic concepts of statistics and...
Independently published, 2022. — 92 p. — ISBN-13 979-8402226524. Many people find statistical analysis puzzling. Why? Because it demands new ways of thinking. And how do you fathom these new ways of thinking? In order to fathom statistical analysis properly, you need to understand a number of its key foundations. Reading textbooks doesn’t work because textbooks don’t focus on...
Berlin: Springer, 2013. — 137 p. This book is devoted to a novel approach for dimensionality reduction based on the famous nearest neighbor method that is a powerful classification and regression approach. It starts with an introduction to machine learning concepts and a real-world application from the energy domain. Then, unsupervised nearest neighbors (UNN) is introduced as...
Heidelberg: Physica-Verlag, 1986. — 194 p. This monograph grew out of joint work with various dedicated colleagues and students at the Vienna Institute for Advanced Studies. We would probably never have begun without the impetus of Johann Maurer, who for some time was the spiritus rector behind the Institute's macromodel of the Austrian economy. Manfred Deistler provided...
Chapman and Hall/CRC, 2006. — 346 p. — (Statistics: A Series of Textbooks and Monographs). — ISBN: 1584886358, 9781584886358. In the area of applied statistics, scientists use statistical distributions to model a wide range of practical problems, from modeling the size grade distribution of onions to modeling global positioning data. To apply these probability models...
2nd ed. — CRC Press, 2016. — 404 p. — ISBN: 9781498741491, EISBN: 9781498741507 Easy-to-Use Reference and Software for Statistical Modeling and Testing Handbook of Statistical Distributions with Applications, Second Edition provides quick access to common and specialized probability distributions for modeling practical problems and performing statistical calculations. Along...
Springer, 2023. — 343 p. — ISBN 978-3-662-64318-1. This book shows you how to analyze data sets systematically and to use Excel to extract information from data almost effortlessly. Both are (not) an art! The statistical methods are presented and discussed using a single data set. This makes it clear how the methods build on each other and gradually more and more information...
Wiley, 2008. — 615 p. — ISBN: 0470164972, 9780470164976 From a preeminent authority—a modern and applied treatment of multiway data analysis This groundbreaking book is the first of its kind to present methods for analyzing multiway data by applying multiway component techniques. Multiway analysis is a specialized branch of the larger field of multivariate statistics that...
New York: Springer, 2021. — 411 p. This case study-based textbook in multivariate analysis for advanced students in the humanities emphasizes descriptive, exploratory analyses of various types of data sets from a wide range of sub-disciplines, promoting the use of multivariate analysis and illustrating its wide applicability. Fields featured include, but are not limited to,...
3rd Edition. — John Wiley & Sons, Inc., 2016. — 560 p. — (Public Health/Epidemiology and Biostatistics) —ISBN: 111871265X Statistics for Health Care Management and Administration is a unique and invaluable resource for students of health care administration and public health. The book introduces students to statistics within the context of health care, focusing on the major...
John Wiley & Sons, Incorporated , 2012. — 472 p. The development and application of multivariate statistical techniques in process monitoring has gained substantial interest over the past two decades in academia and industry alike. Initially developed for monitoring and fault diagnosis in complex systems, such techniques have been refined and applied in various engineering...
Wiley, 2008. — 272 p. — ISBN: 0470028645, 9780470028643 Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence acts as a source of basic methods for scientists wanting to combine evidence from different experiments. The authors aim to promote a deeper understanding of the notion of statistical evidence. The book is comprised of two parts The Handbook , and The...
Packt, 2016. — 354 p. — ISBN: 978-1-78398-326-1. A step-by-step guide to predictive modeling including lots of tips, tricks, and best practices Get to grips with the basics of Predictive Analytics with Python Learn how to use the popular predictive modeling algorithms such as Linear Regression, Decision Trees, Logistic Regression, and Clustering Book Description Social Media...
Wiley Interscience, 2007. — 420 p. — (Lecture Notes–Monograph Series). — ISBN 0470081473. This book presents modern nonparametric statistics from a practical point of view. It is primarily intended for use with engineers and scientists. While the book covers the necessary theorems and methods of rank tests in an applied fashion, the novelty lies in its emphasis on modern...
Wiley Publications in Statistics, 1969. — 356 p. THE CHI-SQUARED DISTRIBUTION commences with a brief historical introduction to the Pearson χ2, and further historical notes, especially to Karl Pearson and R. A. Fisher, are included throughout the text. The theory and practical application of the Pearson χ2 are presented and illustrated in this book by many examples and...
NY: Routledge, 2015. — 357 p. — ISBN: 978-0-415-83898-6. This book provides an up-to-date review of commonly undertaken methodological and statistical practices that are based partially in sound scientific rationale and partially in unfounded lore. Some examples of these methodological urban legends are characterized by manuscript critiques such as: (a) your self-report...
Rice University; University of Houston, Downtown Campus. — 692 p. Graphing Distributions Summarizing Distributions Describing Bivariate Data Probability Research Design Normal Distributions Advanced Graphs Sampling Distributions Estimation Logic of Hypothesis Testing Testing Means Power Regression Analysis of Variance Transformations Chi Square Distribution-Free Tests Effect...
Cham: Springer, 2021. — 158 p. This book is the first to introduce applied behavioral, social, and health sciences researchers to a new analytic method, the time-varying effect model (TVEM). It details how TVEM may be used to advance research on developmental and dynamic processes by examining how associations between variables change across time. The book describes how TVEM is...
2nd Ed. — W. H. Freeman and Company, 2012. — 718 p. — ISBN: 978-1-464127-18-2. Discovering the Fundamentals of Statistics by Dan Larose is the ideal brief introductory statistics text that balances the teaching of computational skills with conceptual understanding. Written in a concise, accessible style, Discovering the Fundamentals of Statistics helps students develop the...
Pearson, 2014 2015. — 704 p. in color. — 6th ed. — ISBN: 0321911210, 9780321911216 Statistics opens a window to the modern world, and this market-leading text makes it easy to understand! Larson and Farber’s Elementary Statistics: Picturing the World, Sixth Edition, provides stepped out instruction, real-life examples and exercises, and the use of technology to offer the most...
New York: Springer, 2017. — 434 p. This edited book presents the recent developments in partial least squares-path modeling (PLS-PM) and provides a comprehensive overview of the current state of the most advanced research related to PLS-PM. The first section of this book emphasizes the basic concepts and extensions of the PLS-PM method. The second section discusses the...
Springer, 2021. — 307 p. — ISBN 978-981-16-0621-2. This book discusses all major topics on survey sampling and estimation. It covers traditional as well as advanced sampling methods related to the spatial populations. The book presents real-world applications of major sampling methods and illustrates them with the R software. As a large sample size is not cost-efficient, this...
Springer, 2007. — 256 p. — (Springer Series in Statistics). — ISBN: 0387707786, 9780387707785 This book is the reference on indirect sampling and the generalised weight share method. It reviews the different developments done by the author on these subjects. In addition to the underlying theory, the book presents different possible applications that drive its interest. The reader...
N.-Y.: Springer, 2015. - 242p. This book provides a systematic treatment of the mathematical underpinnings of work in data assimilation, covering both theoretical and computational approaches. Specifically the authors develop a unified mathematical framework in which a Bayesian formulation of the problem provides the bedrock for the derivation, development and analysis of...
Springer, 2014. — 836 p. — ISBN: 3319055542, 9783319055541 This textbook teaches crucial statistical methods to answer research questions using a unique range of statistical software programs, including MINITAB and R. This textbook is developed for undergraduate students in agriculture, nursing, biology and biomedical research. Graduate students will also find it to be a useful...
New York: Springer, 2008. - 302p. One of the most intriguing questions facing modern science is the inner workings of the human brain. Functional magnetic resonance imaging (fMRI) is a powerful tool used to study the human brain in action. The data produced from mapping the active processes within the brain present many challenges to statisticians, computer scientists,...
Boca Raton: CRC Press, 2019. — 269 p. Geometric Data Analysis designates the approach of Multivariate Statistics that conceptualizes the set of observations as a Euclidean cloud of points.Combinatorial Inference in Geometric Data Analysisgives an overview of multidimensional statistical inference methods applicable to clouds of points that make no assumption on the process of...
2nd ed. — Springer, 2023. — 190 p. — ISBN 3031422953. This book covers methods of applied statistics for researchers who design and conduct experiments, perform statistical inference, and write technical reports. These research activities rely on an adequate knowledge of applied statistics. The reader both builds on basic statistics skills and learns to apply it to applicable...
Springer, 2014. — 168 p. — ISBN: 3319024019. This is a text in methods of applied statistics for researchers who design and conduct experiments, perform statistical inference, and write technical reports. These research activities rely on an adequate knowledge of applied statistics. The reader both builds on basic statistics skills and learns to apply it to applicable scenarios...
Boca Raton: CRC Press, 2019. — 179 p. Global climate change is typically understood and modeled using global climate models (GCMs), but the outputs of these models in terms of hydrological variables are only available on coarse or large spatial and time scales, while finer spatial and temporal resolutions are needed to reliably assess the hydro-environmental impacts of climate...
Springer, 1998. — 219 p. — ISBN: 978-1-4419-5056-7. Independent Component Analysis (ICA) is a signal-processing method to extract independent sources given only observed data that are mixtures of the unknown sources. Recently, blind source separation by ICA has received considerable attention because of its potential signal-processing applications such as speech enhancement...
CRC Press, Inc., 2021. — 361 p. – (Chapman & Hall/CRC Biostatistics Series). — ISBN 978-0367149673. Survival data analysis is a very broad field of statistics, encompassing a large variety of methods used in a wide range of applications, and in particular in medical research. During the last twenty years, several extensions of "classical" survival models have been developed to...
Independently published, 2021. — 134 p. — ASIN B091K3XT8G. This text will provide guidance for anyone who has difficulty in doing their research work particularly research that involved the use of statistical methods. Introduction and Purpose T-Test Statistic Analysis of Variance (ANOVA) Correlation Analysis Linear and Multiple Regression Analysis Chi-Square Statistic...
Second Edition. — CRC Press, 2019. — 497 p. Many statistics books are written for readers learning statistics for the first time. But what distinguishes this book from others is the focus on the applications of statistics without compromising on mathematical rigor. The intent is to present the material in a seamless step-by-step approach so that readers are first introduced to...
N.-Y.: Chapman and Hall/CRC, 2009. - 464p.
Through clear, step-by-step mathematical calculations, Applied Statistical Inference with MINITAB enables students to gain a solid understanding of how to apply statistical techniques using a statistical software program. It focuses on the concepts of confidence intervals, hypothesis testing, validating model assumptions, and power...
New York: Springer, 2022. — 279 p. This book proposes tools for analysis of multidimensional and metric data, by establishing a state-of-the-art of the existing solutions and developing new ones. It mainly focuses on visual exploration of these data by a human analyst, relying on a 2D or 3D scatter plot display obtained through Dimensionality Reduction. Performing diagnosis of...
2nd ed. — FT Press, 2009. — 384 p. — ISBN: 0137010591, 9780137010592 Even You Can Learn Statistics is the easiest guide to using statistics in your everyday work or study. Experienced educators David Levine and David Stephan teach statistics hands-on, in plain English, with as little math and as many revealing examples as possible. Levine and Stephan define each concept and...
Boca Raton: Chapman & Hall/CRC, 2013. - 284p. Newcomers to quantitative analysis need practical guidance on how to analyze data in the real world yet most introductory books focus on lengthy derivations and justifications instead of practical techniques. Covering the technical and professional skills needed by analysts in the academic, private, and public sectors, Applying...
N.-Y.: Wiley, 2008. - 602p. A trusted classic on the key methods in population sampling—now in a modernized and expanded new edition Sampling of Populations, Fourth Edition continues to serve as an all-inclusive resource on the basic and most current practices in population sampling. Maintaining the clear and accessible style of the previous edition, this book outlines the...
CRC, 2016. — 340 p. — ISBN: 9781498776776. Complex Survey Data Analysis with SAS(r) is an invaluable resource for applied researchers analyzing data generated from a sample design involving any combination of stratification, clustering, unequal weights, or finite population correction factors. After clearly explaining how the presence of these features can invalidate the...
Boca Raton: CRC Press, 2019. — 317 p. This book collects important advances in methodology and data analysis for directional statistics. It is the companion book of the more theoretical treatment presented in Modern Directional Statistics (CRC Press, 2017). The field of directional statistics has received a lot of attention due to demands from disciplines such as life sciences...
Springer, 2019. — 386 p. — (Springer Texts in Statistics). — ISBN: 978-1-4939-9759-6. This textbook offers an accessible and comprehensive overview of statistical estimation and inference that reflects current trends in statistical research. It draws from three main themes throughout: the finite-sample theory, the asymptotic theory, and Bayesian statistics. The authors have...
New York: Springer, 2015. — 87 p. This brief presents four practical methods to effectively explore causal relationships, which are often used for explanation, prediction and decision making in medicine, epidemiology, biology, economics, physics and social sciences. The first two methods apply conditional independence tests for causal discovery. The last two methods employ...
Boca Raton: CRC Press, 2023. — 151 p. This book provides a general framework for learning sparse graphical models with conditional independence tests. It includes complete treatments for Gaussian, Poisson, multinomial, and mixed data; unified treatments for covariate adjustments, data integration, and network comparison; unified treatments for missing data and heterogeneous...
John Wiley & Sons, Inc., 2002. — 212 p. — ISBN: 0471386464. An incomparably useful examination of statistical methods for comparison. The nature of doing science, be it natural or social, inevitably calls for comparison. Statistical methods are at the heart of such comparison, for they not only help us gain understanding of the world around us but often define how our research...
Springer, 2016. — 351 p. Selected Papers from the 2015 ICSA/Graybill Applied Statistics Symposium, Colorado State University, Fort Collins. The papers in this volume represent a broad, applied swath of advanced contributions to the 2015 ICSA/Graybill Applied Statistics Symposium of the International Chinese Statistical Association, held at Colorado State University in Fort...
Springer, 2012. — 173 p. — ISBN: 9781461405610, 9781461405627 Agreement assessment techniques are widely used in examining the acceptability of a new or generic process, methodology and/or formulation in areas of lab performance, instrument/assay validation or method comparisons, statistical process control, goodness-of-fit, and individual bioequivalence. Successful...
New York: A Hodder Arnold Publication, 1999. — 226 p. Written by a renowned statistician, this book presents the basic ideas behind the statistical methods commonly used in studies of human subjects. It is an ideal guide for advanced undergraduates who are beginning to do their own research. It presents the basic principles in a non-mathematical way and is accessible to a wide...
Oxford: Oxford University Press, 1995. — 304 p. Categorical data analysis is a special area of generalized linear models, which has become the most important area of statistical applications in many disciplines, from medicine to social sciences. This text presents the standard models and many newly developed ones in a language that can be immediately applied in many modern...
Springer, 2014. — 490 p. — ISBN10: 1461490405. Non-parametric methods are widely used for studying populations that take on a ranked order (such as movie reviews receiving one to four stars). The use of non-parametric methods may be necessary when data have a ranking but no clear numerical interpretation, such as when assessing preferences. In terms of levels of measurement,...
Springer, 2019. — 409 p. — (ICSA Book Series in Statistics). — ISBN: 978-3-030-20708-3. Статистические технологии качества This book explores different statistical quality technologies including recent advances and applications. Statistical process control, acceptance sample plans and reliability assessment are some of the essential statistical techniques in quality...
Second Edition. — N.-Y.: Wiley, 2002. — 408 p. — ISBN: 0-471-18386-5. Praise for the First Edition of Statistical Analysis with Missing Data: "An important contribution to the applied statistics literature. I give the book high marks for unifying and making accessible much of the past and current work in this important area." — William E. Strawderman, Rutgers University. "This...
Mahwah, N.J. : Lawrence Erlbaum Associates, 2005. — 113 p.
Working With Numbers and Statistics: A Handbook for Journalists will bolster math skills and improve math confidence for journalists at all skill levels. Authors Charles Livingston and Paul Voakes developed this resource book to improve journalistic writing and reporting, enabling journalists to:*make accurate, reliable...
Hoboken: Wiley, 2012. — 741 p. — ISBN: 978-0-470-60187-7. This 1st edition of Statistics moves the curriculum in innovative ways while still looking relatively familiar. Statistics, 1e utilizes intuitive methods to introduce the fundamental idea of statistical inference. These intuitive methods are enabled through statistical software and are accessible at very early stages of...
3rd Edition. — Dennis F. Lock, Eric F. Lock, Kari Lock Morgan, Patti Frazer Lock, Robin H. Lock — John Wiley & Sons, Inc., 2020-10-13. — 864 p. — ISBN: 978-1-119-67416-0. Statistics: Unlocking the Power of Data, 3rd Edition is designed for an introductory statistics course focusing on data analysis with real-world applications. Students use simulation methods to effectively...
Heldelberg: Springer, 1989. — 284 p. Partial Least Squares (PLS) is an estimation method and an algorithm for latent variable path (LVP) models. PLS is a component technique and estimates the latent variables as weighted aggregates. The implications of this choice are considered and compared to covariance structure techniques like LISREL, COSAN and EQS. The properties of...
3rd. ed. - CRC Press, 2021. - 674 p. - (Chapman & Hall/CRC Texts in Statistical Science). - ISBN 0367279509. What is the unemployment rate ? What is the total area of land planted with soybeans ? How many persons have antibodies to the virus causing COVID-19 ? Sampling: Design and Analysis, Third Edition shows you how to design and analyze surveys to answer these and other...
SAGE Publications, Inc, 2011. — 766 p. Preface Introduction Statistical Computing Preliminary Issues Means Versus Correlations Measurement Issues Response Variable Assumptions Conceptual Overview of Linear Mixed Effects Regression Goals of Inference Random Effects How Important Are Random Effects? Traditional Approaches MPLS Data Set Statistical Strategy LMER and Multimodel...
ITexLi, 2022. — 184 p. — ISBN 1839697830 9781839697838 1839697822 9781839697821 1839697849 9781839697845. Nature evolves mainly in a statistical way. Different strategies, formulas, and conformations are continuously confronted in the natural processes. Some of them are selected and then the evolution continues with a new loop of confrontation for the next generation of...
Princeton: Princeton University Press, 1993. — 200 p. Aimed at a diverse scientific audience, including physicists, astronomers, chemists, geologists, and economists, this book explains the theory underlying the classical statistical methods. Its level is between introductory "how to" texts and intimidating mathematical monographs. A reader without previous exposure to...
Springer, 2013. — 260 p. — ISBN: 146148572X.
This book covers applied statistics for the social sciences with upper-level undergraduate students in mind. The chapters are based on lecture notes from an introductory statistics course the author has taught for a number of years. The book integrates statistics into the research process, with early chapters covering basic...
Springer, 2022. — 159 p. — ISBN 3031050096. This book presents a concise and focused introduction to engineering statistics, emphasizing topics and concepts that a practicing engineer is mostly likely to use: the display of data, confidence intervals, hypothesis testing, fitting straight lines to data, and designing experiments to find the impact of process changes on a system...
CRC Press, 2022. — 636 p. — ISBN 1466564369. The book focuses on problem solving for practitioners and model building for academicians under multivariate situations. This book helps readers in understanding the issues, such as knowing variability, extracting patterns, building relationships, and making objective decisions. A large number of multivariate statistical models are...
2nd edition. — Springer, 2022. — 448 p. — (Springer Transactions in Civil and Environmental Engineering). — ISBN 978-981-16-5516-6. This second edition 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...
Wiley, 2020. — 252 p. Data analysis as an area of importance has grown exponentially, especially during the past couple of decades. This can be attributed to a rapidly growing computer industry and the wide applicability of computational techniques, in conjunction with new advances of analytic tools. This being the case, the need for literature that addresses this is self-evident....
Wiley, 2020. — 310 p. Data analysis as an area of importance has grown exponentially, especially during the past couple of decades. This can be attributed to a rapidly growing computer industry and the wide applicability of computational techniques, in conjunction with new advances of analytic tools. This being the case, the need for literature that addresses this is self-evident....
UNITED NATIONS. New York and Geneva. 2007. — 108 Pages. ISBN: 9211169593. Historically, confidentiality protection has been mainly a national issue. However, in the context of increasing data dissemination over the Internet, it is now also becoming an international issue. This raises the question of whether it is possible to internationally agree on some common principles for...
CRC Press, 2015. — 197 p. — (Monographs on Statistics & Applied Probability). — ISBN: 9781498707817, 9781498707824 Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic properties connecting probabilistic notions. In particular, it studies Gaussian random fields using reproducing kernel Hilbert spaces...
9th Edition. — Wiley, 2016. — 651 p. — ISBN: 978-1-119-14832-6. Introductory Statistics, 9th Edition is written for a one- or two-semester first course in applied statistics and is intended for students who do not have a strong background in mathematics. The only prerequisite is knowledge of elementary algebra. Introductory Statistics is known for its realistic examples and...
Cambridge: The MIT Press, 1981. — 477 p. Alternative Estimators and Sample Designs for Discrete Choice Analysis, Charles F. Manski and Daniel McFadden Efficient Estimation of Discrete-Choice Models, Stephen R. Cosslett Statistical Models for Discrete Panel Data, James J. Heckman The Incidental Parameters Problem and the Problem of Initial Condition in Estimating a Discrete...
London: Academic Press, 1995. — 532 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...
John Wiley & Sons, 2000. — 441 p.
Presents new and up-dated material on both the underlying theory and the practical methodology of directional statistics, helping the reader to utilise and develop the techniques appropriate to their work. The book is divided into three parts. The first part concentrates on statistics on the circle. Topics covered include tests of uniformity,...
Springer, 1981. — 265 p. — (Monographs on Applied Probability and Statistics). — ISBN: 0412159406, 9780412159404
The preparation of several short courses on distribution-free statisti cal methods for students at third and fourth year level in Australian universities led to the writing ofthis book. My criteria for the courses were, firstly, that the subject should have a...
ITexLi, 2022. — 236 p. — ISBN 1803557664, 9781803557663, 1803557656, 9781803557656, 1803557672, 9781803557670. This book describes and discusses the use of principal component analysis (PCA) for different types of problems in a variety of disciplines, including engineering, technology, economics, and more. It presents real-world case studies showing how PCA can be applied with...
ITexLi, 2024. — 161 p. — ISBN 0854662650 9780854662654 0854662669 9780854662661 0854662677 9780854662678. This book on Principal Component Analysis (PCA) extensively explores the core analyses and case studies within this field, incorporating the latest advancements. Each chapter delves into various disciplines like engineering, administration, economics, and technology,...
CRC, 2021. — 421 pp. — (Texts in Statistical Science). — ISBN 9780367894368. Bayesian Modeling and Computation in Python aims to help beginner Bayesian practitioners to become intermediate modelers. It uses a hands on approach with PyMC3, Tensorflow Probability, ArviZ and other libraries focusing on the practice of applied statistics with references to the underlying...
Wiesbaden: Springer Spektrum, 2019. — 328 p. Ole Martin extends well-established techniques for the analysis of high-frequency data based on regular observations to the more general setting of asynchronous and irregular observations. Such methods are much needed in practice as real data usually comes in irregular form. In the theoretical part he develops laws of large numbers...
Springer, 2016. — 211 p. CoDaWork, L’Escala, Spain, June 2015. The authoritative contributions gathered in this volume reflect the state of the art in compositional data analysis (CoDa). The respective chapters cover all aspects of CoDa, ranging from mathematical theory, statistical methods and techniques to its broad range of applications in geochemistry, the life sciences and...
Springer, 2014. — 230 p.
This book features 13 papers presented at the Fifth International Symposium on Recurrence Plots, held August 2013 in Chicago, IL. It examines recent applications and developments in recurrence plots and recurrence quantification analysis (RQA) with special emphasis on biological and cognitive systems and the analysis of coupled systems using...
Sage Publications Ltd., 2010. — 432 p. — ISBN: 1412911214, 9781412911214 Balancing simplicity with technical rigour, this practical guide to the statistical techniques essential to research in marketing and related fields, describes each methods as well as showing how they are applied. The book is accompanied by two real data sets to replicate examples and with exercises to...
SAGE Publications, 2022. — 264 p. — (The SAGE Quantitative Research Kit). — ISBN 1526424738. A practical, up-to-date, step-by-step guidance on causal analysis for advancing students , this volume of The SAGE Quantitative Research kit features worked example datasets throughout to clearly demonstrate the application of these powerful techniques, giving students the know-how and...
Global 13th Edition. — Pearson, 2018. — 900 p. — ISBN: 978-1-292-16155-6. Classic, yet contemporary; theoretical, yet applied—McClave & Sincich’s 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 development of statistical...
N.-Y.: Pearson, 2012. - 840p. Statistics is an introductory text that emphasizes inference and sound decision-making through extensive coverage of data collection and analysis. As in earlier editions, the twelfth edition text stresses the development of statistical thinking, the assessment of credibility, and value of the inferences made from data, both by those who consume and...
New York: Morgan & Claypool, 2016. - 134 p. Many scientific disciplines rely on observational data of systems for which it is difficult (or impossible) to implement controlled experiments. Data analysis techniques are required for identifying causal information and relationships directly from such observational data. This need has led to the development of many different time...
Springer, 2023. — 415 р. — (Springer Series in Statistics). — ISBN 978-3-031-14274-1. The first half of the book is aimed at quantitative research workers in biology, medicine, ecology and genetics. The book as a whole is aimed at graduate students in statistics, biostatistics, and other quantitative disciplines. Ten detailed examples show how the author approaches real-world...
CRC Press, 2023. — 202 p. — (The R Series). — ISBN 978-0-367-70420-9. Дисперсионный анализ и смешанные модели: краткое введение в использование R ANOVA and Mixed Models: A Short Introduction Using R provides both the practitioner and researcher a compact introduction to the analysis of data from the most popular experimental designs. Based on knowledge from an introductory...
Singapore: World Scientific Publishing Company, 2022. — 135 p. — ISBN 9811251711. The book explains how to identify and catch statistical cheaters. The author came across many weaknesses and flaws in statistics through 30 years of teaching. These weaknesses allow a malevolent researcher to manipulate the inputs, the calculations, and the reporting of results to derive a desired...
Springer, 2014. — 539 p. — (Springer Proceedings in Mathematics & Statistics 114). — ISBN: 978-1-4939-2103-4. The Department of Statistical Sciences of the University of Bologna in collaboration with the Department of Management and Engineering of the University of Padova, the Department of Statistical Modelling of Saint Petersburg State University, and INFORMS Simulation...
CRC Press, 2016. - 1182p. - ISBN: 1498728855 6th.ed. Statistics for Engineering and the Sciences, Sixth Edition is designed for a two-semester introductory course on statistics for students majoring in engineering or any of the physical sciences. This popular text continues to teach students the basic concepts of data description and statistical inference as well as the...
6th Edition. — L.: Routledge, 2016. - 391 p. — ISBN: 978-1138289734 Ideal for non-math majors, Advanced and Multivariate Statistical Methods teaches students to interpret, present, and write up results for each statistical technique without overemphasizing advanced math. This highly applied approach covers the why, what, when and how of advanced and multivariate statistics in a...
Springer-Science+Business Media, B.Y. 1994. — 456 р. — ISBN: 0412492202.
Statistics in Engineering provides a succinct introduction to statistics. The ideas are introduced with examples set in their practical context. The underlying mathematics are given in an informal way and are included for those who find that mathematical justification helps their understanding of concepts,...
2nd ed. — CRC, 2019. — 811 p. — ISBN: 9781439895474. Engineers are expected to design structures and machines that can operate in challenging and volatile environments, while allowing for variation in materials and noise in measurements and signals. Statistics in Engineering, Second Edition: With Examples in MatLAB and R covers the fundamentals of probability and statistics and...
Springer, 2016. — 446 p. — ISBN: 9811003998, 9789811003998 Presents the application of statistical techniques in an easy-to-understand format. Makes statistical concepts clear through the use of everyday examples. Provides a useful tool for research work in validating and invalidating research hypotheses. Excellent reading for researchers, students and practitioners. This book...
2nd ed. — CRC, 2002. — 256 p. — ISBN: 1-58488-171-2. Originally published in 1990, the first edition of Subset Selection in Regression filled a significant gap in the literature, and its critical and popular success has continued for more than a decade. Thoroughly revised to reflect progress in theory, methods, and computing power, the second edition promises to continue that...
Packt Publishing, 2017. — 286 p. No need to take a degree in statistics, read this book and get a strong statistics base for data science and real-world programs; Implement statistics in data science tasks such as data cleaning, mining, and analysis Learn all about probability, statistics, numerical computations, and more with the help of R programs Who This Book Is For This...
University Of Chicago Press, 2005. — 424 p. — ISBN: 0226527832, 0226527824 Writing about multivariate analysis is a surprisingly common task. Researchers use these advanced statistical techniques to examine relationships among multiple variables, such as exercise, diet, and heart disease, or to forecast information such as future interest rates or unemployment. Many different...
University Of Chicago Press, 2004. - 312 pages. People who work well with numbers are often stymied by how to write about them. Those who don't often work with numbers have an even tougher time trying to put them into words. For instance, scientists and policy analysts learn to calculate and interpret numbers, but not how to explain them to a general audience. Students learn...
John Wiley & Sons, Inc., 1986. — 334 p. — ISBN: 0471819220 This book goes beyond specific methods in specific applications to consider the full range of techniques which can be used to solve a statistical problem. This applied text treats general topics such as one- and two-sample problems, one- and two-way classifications, regression analysis, ratios and variances. It includes...
Springer, 2013. — 237 p. — ISBN: 9781461457435
This statistics book is designed for use with the OpenStat statistics program, an open-source software developed by William Miller. This book and the corresponding free program covers a broad spectrum of statistical theory and techniques. OpenStat users are researchers and students in the social sciences, education, psychology,...
2012 — 425 p. — ISBN: 1461457394. This reference manual for the OpenStat software, an open-source software developed by William Miller, covers a broad spectrum of statistical methods and techniques. A unique feature is its compatibility with many other statistical programs. OpenStat users are researchers and students in the social sciences, education, or psychology, who benefit...
Academic Press, 2019. — viii + 327 p. — ISBN: 978-0-12-813118-3. Written for those who need an introduction, Applied Time Series Analysis reviews applications of the popular econometric analysis technique across disciplines. Carefully balancing accessibility with rigor, it spans economics, finance, economic history, climatology, meteorology, and public health. Terence Mills...
Boston: McGraw-Hill, 2003. — 285 p. This well-respected text is designed for the first course in probability and statistics taken by students majoring in Engineering and the Computing Sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory. The authors take care to develop the theoretical foundations for the...
Springer Science+Business Media New York. 2013. — 344 p.
This volume presents 27 selected papers in topics that range from statistical applications in business and finance to applications in clinical trials and biomarker analysis. All papers feature original, peer-reviewed content. The editors intentionally selected papers that cover many topics so that the volume will serve...
New York: Apple Academic Press, 2019. — 543 p. An understanding of the basics, logic, and theory of statistics is essential for agricultural researchers for dealing with the interpretation of data. This volume presents some of the basic and necessary concepts of statistical tools, specifically as applied to the statistics of agriculture and allied fields. It covers basic...
Rice University, 2021. — 927 p. — ISBN 978-1-50669-823-6. This textbook was written to increase teacher and student access to highquality learning materials, maintaining the highest standards of academic rigor at little to no cost. Statistics covers the scope and sequence requirements of a typical one-year statistics course. The text provides comprehensive coverage of...
4th ed. — Academic Press, 2021. — 767 p. — ISBN 9780128230435. Statistical Methods, Fourth Edition, is designed to introduce students to a wide-range of popular and practical statistical techniques. Requiring a minimum of advanced mathematics, it is suitable for undergraduates in statistics, or graduate students in the physical, life, and social sciences. By providing an...
Springer Science+Business Media, Inc, 2005 — 683 p.
This book provides a comprehensive treatment on modeling approaches for non-Gaussian repeated measures, possibly subject to incompleteness. The authors begin with models for the full marginal distribution of the outcome vector. This allows model fitting to be based on maximum likelihood principles, immediately implying...
Butterworth-Heinemann, 2017. — 541 p. — ISBN: 978-0-12-811555-8 This book is written with a systematic approach in mind and covers a full range of data analysis topics, from the introductory level (basic probability, measures of dispersion, random variable, discrete and continuous distributions) through more generally used techniques (common statistical distributions,...
Wiley, 2010. — 544 p. — 5th ed. — ISBN: 0470631473, 9780470631478 Montgomery, Runger, and Hubele provide modern coverage of engineering statistics, focusing on how statistical tools are integrated into the engineering problem-solving process. All major aspects of engineering statistics are covered, including descriptive statistics, probability and probability distributions,...
New York: W.H. Freeman, 2010. — 532 p. in color. — ISBN: 9781429233699, 1429233699, 9781429234467, 1429234466. Essential Statistics is what its name suggests: a basic introduction to statistical ideas and methods that aims to equip students to carry out common statistical procedures and to follow statistical reasoning in their fields of study and in their future employment.
W.H. Freeman & Company, 2012. — 920 p. in color. — ISBN: 1464103186, 9781464103186. Statistics is the science of data. Exploring the Practice of Statistics (EPS) is an introductory text based on this principle. We present methods of basic statistics in a way that emphasizes working with data and mastering statistical reasoning. EPS is elementary in mathematical level, but...
New York: Springer, 2015. - 268p This edited volume focuses on recent research results in classification, multivariate statistics and machine learning and highlights advances in statistical models for data analysis. The volume provides both methodological developments and contributions to a wide range of application areas such as economics, marketing, education, social sciences...
Willey, 2009. — 192 p. This practical text is an essential source of information for those wanting to know how to deal with the variability that exists in every engineering situation. Using typical engineering data, it presents the basic statistical methods that are relevant, in simple numerical terms. In addition, statistical terminology is translated into basic English. In...
New York: Springer, 1984. — 340 p. The new version has two additions. First, at the suggestion of Stephen Stigler I we have replaced the Table of Contents by what he calls an Analytic Table of Contents. Following the title of each section or subsection is a description of the content of the section. This material helps the reader in several ways, for example: by giving a...
2003, GraphPad Software Inc., San Diego CA. 351 pp.
Regression analysis, especially nonlinear regression, is an essential tool to analyze
biological (and other) data. Many researchers use nonlinear regression more than any
other statistical tool. Despite this popularity, there are few places to learn about nonlinear
regression. Most introductory statistics books focus only on...
2009, Boca Raton: Chapman and Hall/CRC, 499 p. ISBN10: 158488102X. ISBN13: 978-1584881025. Taking an accessible, nonmathematical approach to this field, Sequential Methods and Their Applications illustrates the efficiency of sequential methodologies when dealing with contemporary statistical challenges in many areas. The book first explores fixed sample size, sequential...
Springer, 2001. — 292 p. — (Lecture Notes in Statistics). — ISBN: 0387951083, 9780387951089 EISBN:9781461220886 The aim of this book is to make a comprehensive review on some of the research topics in the area of survey sampling which has not been covered in any book yet. The proposed book aims at making a comprehensive review of applications of Bayes procedures, Empirical Bayes...
New York: Springer, 1988. — 207 p. This monograph reviews some of the work that has been done for longitudi nal data in the rapidly expanding field of nonparametric regression. The aim is to give the reader an impression of the basic mathematical tools that have been applied, and also to provide intuition about the methods and applications. Applications to the analysis of...
Dordrecht: D. Reidel Publishing Company, 1987. — 224 p. — ISBN: 9027724261 Interest in statistical methodology is increasing so rapidly in the astronomical community that accessible introductory material in this area is long overdue. This book fills the gap by providing a presentation of the most useful techniques in multivariate statistics. A wide-ranging annotated set of...
CRC, 2021. — 183 p. — ISBN 9780367262082 Project-Based R Companion to Introductory Statistics is envisioned as a companion to a traditional statistics or biostatistics textbook, with each chapter covering traditional topics such as descriptive statistics, regression, and hypothesis testing. However, unlike a traditional textbook, each chapter will present its material using a...
Independently published, 2022. — 315 p. — ISBN 979-8353288237. The world of excel is a large one especially filled with all of the special functions for your special duty. Now if you are an excel enthusiast, you are going to agree with me that excel gets deep and extensive. The deeper you get into it, the more you understand. And what you understand is a lot.One thing that...
Wiley, 2010. — 294 p. This book by a group of established scientists gives a comprehensive, up-to-date overview of the most common statistical methods for handling data from both trained sensory panels and consumer studies of food. It presents the topic in two distinct sections: problem-orientated (Part I) and method orientated (Part II), making it to appropriate for people at...
Mineola, New York: Dover Publication, 2005. — 560 p. — (Dover Books on Mathematics). — ISBN: 0486439372.
This highly regarded handbook is perfect for those seeking engineering information and quantitative data for designing, developing, constructing, and testing equipment. Topics include characterizing and comparing the measured performance of a material, product, or process;...
McGraw-Hill, 2010. — 594 p. — ISBN: 0077289315, 9780073376349. Principles of Statistics for Engineers and Scientists offers the same crystal clear presentation of applied statistics as Bill Navidi's Statistics for Engineers and Scientists text, in a manner especially designed for the needs of a one-semester course that focuses on applications. The text features a unique...
McGraw-Hill, 2011. — 908 p. Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. Suitable for a one or two semester course, the book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. Statistics for Engineers and Scientists features a unique approach...
4th ed. — McGraw-Hill Education, 2014. — 928 p. — ISBN: 978-0073401331. True PDF 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...
5th Edition. — New York, USA: McGraw-Hill Education, 2020. 1282 p. — ISBN: 978-1-259-71760-4. 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...
New York: McGraw-Hill, 2014. — 241 p. Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. Suitable for a one or two semester course, the book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. Statistics for Engineers and Scientists features a...
2nd edition. — McGraw-Hill, 2021. — 621 p. — ISBN 978-1-260-57073-1. Available for the first time in McGraw-Hill's Connect! Principles of Statistics for Engineers and Scientists emphasizes statistical methods and how they can be applied to problems in science and engineering. The book contains many examples that feature real, contemporary data sets, both to motivate students...
6th Edition. — McGraw-Hill, 2023. — 2009 p. — ISBN13 9781265875855. — ISBN10 1265875855. Statistics for Engineers and Scientists stands out for its 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. Preface Sampling and Descriptive Statistics Probability...
6th edition. — McGraw-Hill Education, 204. — 961 p. — ISBN 978-1-266-11583-7. Statistics for Engineers and Scientists stands out for its 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...
SIAM, 2005. — 259 p. — (ASA-SIAM Series on Statistics and Applied Probability). — ISBN: 089871592X, 9780898715927 The analysis of means (ANOM) is a graphical procedure used to quantify differences among treatment groups in a variety of experimental design and observational study situations. The ANOM decision chart allows one to easily draw conclusions and interpret results with...
John Wiley & Sons, Inc. 2005. — 656 p. — ISBN: 0-471-09458-7. This book is directed to engineers and industrial statisticians working on product life data. It will also aid workers in other fields where survival is studied, for example, in medicine, biology, actuarial science, economics, business, and criminology. Also, this book may supplement texts for many statistics and...
Boca Raton: CRC Press, 2012. — 226 p. — ISBN: 978-1-4398-6704-4; ISBN10: 1439867038. Nonparametric Statistical Tests: A Computational Approach describes classical nonparametric tests, as well as novel and little-known methods such as the Baumgartner-Weiss-Schindler and the Cucconi tests. The book presents SAS and R programs, allowing readers to carry out the different...
Boca Raton: CRC Press, 2012. - 468p.
Confidence Intervals for Proportions and Related Measures of Effect Size illustrates the use of effect size measures and corresponding confidence intervals as more informative alternatives to the most basic and widely used significance tests. The book provides you with a deep understanding of what happens when these statistical methods are...
N.-Y.: Wiley, 2011. — 337 p. — ISBN: 978-0-470-68819-9, e-ISBN: 978-1-119-99586-9. The Dirichlet distribution appears in many areas of application, which include modelling of compositional data, Bayesian analysis, statistical genetics, and nonparametric inference. This book provides a comprehensive review of the Dirichlet distribution and two extended versions, the Grouped...
John Wiley & Sons, Inc., 2012. — 330 p. A powerful new tool for all forensic accountants, or anyone who analyzes data that may have been altered Benford's Law gives the expected patterns of the digits in the numbers in tabulated data such as town and city populations or Madoff's fictitious portfolio returns. Those digits, in unaltered data, will not occur in equal proportions;...
John Wiley & Sons, Inc. 2011. — 332 p. — ISBN: 0470903228.
A one-of-a-kind presentation of the major achievements in statistical profile monitoring methods.
Statistical profile monitoring is an area of statistical quality control that is growing in significance for researchers and practitioners, specifically because of its range of applicability across various service and...
New York: John Wiley & Sons, 2016. — 315 p. "Ntoumanis and Myers have done sport and exercise science researchers and students a tremendous service in producing An Introduction to Intermediate and Advanced Statistical Analyses for Sport and Exercise Scientists. This book has an outstanding compilation of comprehensible chapters dealing with the important concepts and technical...
Epidemiology Resources, 1990. — 201 p. Critical analysis of the use of statistical inference in social and behavioural research, its proper role, logic, and its abuse. Argues that ignorance and misunderstanding of the role of statistical inference has had a detrimental effect upon research in the field. Points the way to an appropriate appreciation of the part played by...
8th Edition. — Routledge, 2025. — 387 p. — ISBN 978-1-032-56902-4. Now entitled Statistical Process Control and Data Analytics, this revised and updated eighth edition retains its focus on processes that require understanding, have variation, must be properly controlled, have a capability and need improvement – as reflected in the five sections of the book. In this book the...
Boca Raton: CRC Press, 2014. - 216p.
Age-Period-Cohort Models: Approaches and Analyses with Aggregate Data presents an introduction to the problems and strategies for modeling age, period, and cohort (APC) effects for aggregate-level data. These strategies include constrained estimation, the use of age and/or period and/or cohort characteristics, estimable functions, variance...
Routledge, 2015. — 278 p. — ISBN: 0415739837, 0415739845 Making sense of sports performance data can be a challenging task but is nevertheless an essential part of performance analysis investigations. Focusing on techniques used in the analysis of sport performance, this book introduces the fundamental principles of data analysis, explores the most important tools used in data...
Springer, 2014. — 438 p. — ISBN: 978-3-319-04971-7. Many math and some statistics departments offer a one-semester graduate course in statistical theory using texts such as Casella and Berger (2002), Bickel and Doksum (2007) or Mukhopadhyay (2000, 2006). The course typically covers minimal and complete sufficient statistics, maximum likelihood estimators (MLEs), method of...
New York: Springer, 2016. — 57 p. This brief explores two of the main challenges of spatial network data analysis: the many connected components in the spatial network and the many candidates that have to be processed. Within this book, these challenges are conceptualized, well-defined problems are explored, and critical techniques are discussed.The process of summarizing...
Springer, 2018. — 250 p. Chemometrics and Multivariate Calibration The Classical Least-Squares Model The Inverse Least-Squares Model Principal Component Analysis Principal Component Regression The Optimum Number of Latent Variables The Partial Least-Squares Model Sample and Sensor Selection Mathematical Pre-processing Analytical Figures of Merit MVC1: Software for Multivariate...
Springer, 2024. — 309 p. This book contains several new sections that provide even more in-depth knowledge on the topics. New content on the classical least-squares model, which shows its advantages and limitations in greater detail, was added. Additionally, the book contains a new section on the inverse least-squares model, which explains how it differs from the classical...
Minneapolis: 2003. — 944 p. Linear Algebra. Vector Spaces. Inner Products and Norms. Minimization. Orthogonality. Equilibrium. Linear Functions and Linear Systems. Eigenvalues and Dynamical Systems. Iteration of Linear Systems. Boundary Value Problems in One Dimension. Fourier Series. Fourier Analysis. Laplace Equation. Complex Analysis.
N.-Y.: SAGE Publications, Inc, 2012. - 296p.
Many researchers jump from data collection directly into testing hypothesis without realizing these tests can go profoundly wrong without clean data. This book provides a clear, accessible, step-by-step process of important best practices in preparing for data collection, testing assumptions, and examining and cleaning data in order...
5th edition. — PWS-Kent Publishing Company, 2001. — 1184 p. Statistics is a thought process. In this comprehensive introduction to statistical methods and data analysis, the process is presented utilizing a four-step approach: gathering data, summarizing data, analyzing data, and communicating the results of data analyses.
6th ed. — Brooks/Cole, 2010. — 1296 p. — ISBN 978-0-495-01758-5. Ott and Longnecker's An Introduction to Statistical Methods and Data Analysis, Sixth Edition, provides a broad overview of statistical methods for readers who have little or no prior experience in statistics. The authors teach readers to solve problems encountered in research projects, to make decisions based on...
7th Edition. — Brooks Cole, 2015. — 448 p. — ISBN: 978-1305269477. Ott and Longnecker's An Introduction to Statistical Methods and Data Analysis, Seventh Edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a variety of disciplines who have little or no prior course work in statistics. The authors teach students to...
Springer, 2019. - 180 p. - ISBN: 9811393133. This book discusses the need to carefully and prudently apply various regression techniques in order to obtain the full benefits. It also describes some of the techniques developed and used by the authors, presenting their innovative ideas regarding the formulation and estimation of regression decomposition models, hidden Markov...
Second Edition. — New Delhi: PHI Learning Pvt Limited, 2013. — 473 p. With the advent of scientific calculators, basic data analyses, inferences and certain probability calculations have become very easy. But this has posed the classic carriage before horse problem. Over-enthusiastic, tech-savvy students can crunch numbers easily, often without knowing what they are getting...
New York: Springer, 2002. — 405 p. Growth-curve models are generalized multivariate analysis-of-variance models. These models are especially useful for investigating growth problems on short times in economics, biology, medical research, and epidemiology. This book systematically introduces the theory of the GCM with particular emphasis on their multivariate statistical...
Birkhauser, 2016. — 189 p. — (Compact Textbooks in Mathematics). — ISBN: 3319283391, 9783319283395
Presents a rigorous yet elementary introduction to the main concepts and methods of statistical inference
Targets students of mathematics taking their first course in statistics
Offers a self-contained treatment with a high degree of internal coherence and firm sense of...
Wiley, 2018. — 584 p. — ISBN: 9781119417866, 1119417864. A hands-on approach to statistical inference that addresses the latest developments in this ever-growing field This clear and accessible book for beginning graduate students offers a practical and detailed approach to the field of statistical inference, providing complete derivations of results, discussions, and MatLAB...
John Wiley & Sons, 2006. — 486 p. — ISBN: 978-0-470-02594-9. Like many branches of science, probability and statistics can be effectively taught and appreciated at many mathematical levels. This book is the first of two on probability, and designed to accompany a course aimed at students who possess a basic command of freshman calculus and some linear algebra, but with no...
Springer, 2016. — 255 p. This textbook teaches advanced undergraduate and first-year graduate students in Engineering and Applied Sciences to gather and analyze empirical observations (data) in order to aid in making design decisions. While science is about discovery, the primary paradigm of engineering and "applied science" is design. Scientists are in the discovery business...
Springer, 2020. — 278 p. — ISBN: 978-3-030-43327-7. Researchers and students who use empirical investigation in their work must go through the process of selecting statistical methods for analyses, and they are often challenged to justify these selections. This book is designed for readers with limited background in statistical methodology who seek guidance in defending their...
CRC Press, 2018. — 305 p. — ISBN: 9781138743366. Statistical Methods for Field and Laboratory Studies in Behavioral Ecology focuses on how statistical methods may be used to make sense of behavioral ecology and other data. It presents fundamental concepts in statistical inference and intermediate topics such as multiple least squares regression and ANOVA. The objective is to...
Cham: Springer, 2021. — 189 p. Evidence based medicine is at the core of modern medicine. It involves the integration of individual clinical expertise with the best available clinical evidence from systematic research and patient's values and expectations. Systematic reviews offer a summary of the best available evidence. They are the most reliable and comprehensive statement...
N.-Y.: Wiley, 2015.- 272p.
Modeling and Analysis of Compositional Data presents a practical and comprehensive introduction to the analysis of compositional data along with numerous examples to illustrate both theory and application of each method. Based upon short courses delivered by the authors, it provides a complete and current compendium of fundamental to advanced...
University City Science Center, Philadelphia; American Statistical Association and the Society for Industrial and Applied Mathematics, 1998. — 181 p.
Statisticians know that the clean data sets that appear in textbook problems have little to do with real-life industry data. To better prepare their students for all types of statistical careers, academic statisticians now strive...
New York: Cengage Learning, 2015. — 842 p. Introduction to Statistics and Data Analysis introduces you to the study of statistics and data analysis by using real data and attention-grabbing examples. The authors guide you through an intuition-based learning process that stresses interpretation and communication of statistical information. Simple notation--including frequent...
N.-Y.: Wiley, 2010. - 448p. Complex multivariate testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences. As a result, modern statistics needs permutation testing for complex data with low sample size and many variables, especially in observational studies.The Authors give a general overview on...
Basel: Birkhäuser, 2001. — 412 p. The proceedings of the summer 1999 Chorin workshop on stochastic climate models captures well the spirit of enthusiasm of the workshop participants engaged in research in this exciting field. It is amazing that nearly 25 years after the formal theory of natural climate variability generated by quasi-white-noise weather forcing was developed,...
Springer, 2006. — 1165 p. — ISBN: 1852338067, 9781852338060 Engineers and practitioners contribute to society through their ability to apply basic scientific principles to real problems in an effective and efficient manner. They must collect data to test their products every day as part of the design and testing process and also after the product or process has been rolled out...
Springer, 2023. — 1136 p. This handbook gathers the full range of statistical techniques and tools required by engineers, analysts and scientists from all fields. The book is a comprehensive place to look for methods and solutions to practical problems within - but not limited to - data science, quality assurance in design and production engineering. The tools of engineering...
2nd edition. — Springer, 2023. — 1175 p. In today’s global and highly competitive environment, continuous improvement in the processes and products of any field of engineering is essential for survival. This book gathers together the full range of statistical techniques required by engineers from all fields. It will assist them to gain sensible statistical feedback on how their...
Springer, 2023. — 1138 p. Preface About the Editor International Advisory Board International Editorial Board Contributors Fundamental Statistics and Its Applications Basic Statistics Generalized Statistical Distributions Statistics for Reliability Modeling Functional Data Analysis Symmetric Geometric Skew Normal Regression Model Statistical Analysis of Modern Reliability Data...
Springer, 2018. — 412 p. IWS 8, Vienna, Austria, September 2015. This volume features original contributions and invited review articles on mathematical statistics, statistical simulation and experimental design. The selected peer-reviewed contributions originate from the 8th International Workshop on Simulation held in Vienna in 2015. The book is intended for mathematical...
Springer, 2013. — 90 p. — ISBN: 3319014536, 9783319014531 The study of disaster statistics and disaster occurrence is a complicated interdisciplinary field involving the interplay of new theoretical findings from several scientific fields like mathematics, physics, and computer science. Statistical studies on the mode of occurrence of natural disasters largely rely on...
L.: IOE Press, 2007. - 30p.
Researchers across the social sciences who are interested in change and development can now draw on a rich array of longitudinal resources to help them answer their questions. The combination of theory, data and modern methods of statistical analysis can be used to describe, to predict and to generate causal explanations. This lecture explores these...
N.-Y.: Chapman and Hall/CRC, 2000. — 308 p.
Sampling methods are integral to the design of surveys and experiments, to the validity of results, and thus to the study of statistics, social science, and a variety other disciplines that use statistical data. Yet most of the available texts on the subject are either quite advanced and theoretical or too applied, descriptive, and...
Wiley, 2016. — 286 p. — ISBN: 1119258499, 9781119258490 This book presents the methodology and applications of a range of important topics in statistics, and is designed for graduate students in Statistics and Biostatistics and for medical researchers. Illustrations and more than ninety exercises with solutions are presented. They are constructed from the research findings of...
Chapman & Hall/CRC, 2011. — 633 p. Helping students develop a good understanding of asymptotic theory, Introduction to Statistical Limit Theory provides a thorough yet accessible treatment of common modes of convergence and their related tools used in statistics. It also discusses how the results can be applied to several common areas in the field. The author explains as much...
Boca Raton: CRC Press, 2018. — 271 p. Process Capability Analysis: Estimating Quality presents a systematic exploration of process capability analysis and how it may be used to estimate quality. The book is designed for practitioners who are tasked with insuring a high level of quality for the products and services offered by their organizations. Along with describing the...
1999, Springer-Verlag, New York. — 348 p. eBook ISBN: 978-1-4612-1554-7 DOI: 10.1007/978-1-4612-1554-7 Hardcover ISBN: 978-0-387-98854-2 Softcover ISBN: 978-1-4612-7190-1 Series ISSN: 0172-7397 Since Efron's profound paper on the bootstrap, an enormous amount of effort has been spent on the development of bootstrap, jacknife, and other resampling methods. The primary goal of...
World Scientific, 2014. — 304 p. — ISBN: 978-9814531740. In tests of hypotheses concerning the whole distribution function of samples, the optimal test statistics rely on the empirical processes or on their functionals. The approach is similar for tests about the form of densities and regression curves, Kolmogorov-Smirnov and Cramer-von Mises type statistics can be defined for...
Cambridge, Cambridge University Press, 2009. — 245 p.
Монография посвящена проблеме обнаружения изменений в случайных процессах, важной для задач контроля качества и других инженерных задач, для финансовых, медицинских и других прикладных задач и сосредоточена на построении методов наибыстрейшего обнаружения изменений. Рассчитана на научного работника в области теории...
Springer, 2016. — 542 p. — ISBN: 8132228294, 9788132228295 This book is aimed at a wide range of readers who lack confidence in the mathematical and statistical sciences, particularly in the fields of Agriculture, Veterinary, Fishery, Dairy and other related areas. Its goal is to present the subject of statistics and its useful tools in various disciplines in such a manner...
Springer, 2024. - 237 p. - ISBN 9819972566. This is the second book of the two volumes covering the advanced statistical methods and analysis. Significant topics include advanced concepts in regression, index numbers, time series, and vital statistics. The book includes useful examples and exercises as well as relevant case studies for proper implementation of the discussed...
Amsterdam: Elsevier, 1988. - 440p. This book, the only one of its kind available, presents PCA from its simplest form through its abstract formalism, including applications. Furthermore, it extends the use of PCA far beyond its well-known applications to scalar (e.g. temperature) or vector (e.g. wind) fields. Much of the material is hitherto unpublished, thus greatly extending...
New York: Chapman & Hall/CRC, 2019. — 241 p. The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach provides an innovative look at methods for the analysis of correlated failure times. The focus is on the use of marginal single and marginal double failure hazard rate estimators for the extraction of regression information. For example, in a...
Philadelphia: Americam Mathematical Society, 2011. - 640 p. Foundations and Applications of Statistics simultaneously emphasizes both the foundational and the computational aspects of modern statistics. Engaging and accessible, this book is useful to undergraduate students with a wide range of backgrounds and career goals. The exposition immediately begins with statistics,...
New York: Springer, 2015. — 138 p. — ISBN: 978-3-319-11784-3. This book emphasizes that artificial or pseudo-populations play an important role in statistical surveys from finite universes in two manners: firstly, the concept of pseudo-populations may substantially improve users’ understanding of various aspects in the sampling theory and survey methodology; an example of this...
Springer. 2014. — 250 p. — ISBN10: 3319028294. This is the first book to show the capabilities of Microsoft Excel to teach engineering statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical engineering problems. If understanding statistics isn’t your strongest suit, you are not especially...
Oxford: Oxford University Press, 2013. — 224 p. — (Pocket guides to social work research methods). — ISBN: 978–0–19–976404–4. The complexity of social problems necessitates that social work researchers understand and apply multivariate statistical methods in their investigations. In this pocket guide, the authors introduce readers to three of the more frequently used...
World Scientific Publishing Co., 1998. — 554 p. Written by two top statisticians with experience in teaching matrix methods for applications in statistics, econometrics and related areas, this book provides a comprehensive treatment of the latest techniques in matrix algebra. A well-balanced approach to discussing the mathematical theory and applications to problems in other areas...
2nd edition. — World Scientific Publishing Co. Pte. Ltd., 1997. — 211 p. Written by one of the top most statisticians with experience in diverse fields of applications of statistics, the book deals with the philosophical and methodological aspects of information technology, collection and analysis of data to provide insight into a problem, whether it is scientific research,...
Amsterdam: Elsevier, 2014. — 396 p. — (Handbook of Statistics). A renaissance is currently in progress in all that is statistical. Those were the days when we used desk calculators to fit one of the Pearsonian distributions to the data collected from the field. Those were the days when we used punch cards on a computer occupying an entire large room to work out the Fisher’s...
Elsevier, 1991. — 551 p. — (Handbook of Statistics 8). The main purpose of this volume is the dissemination of statistical methodologies in the area of biological and medical sciences. The chapters are written by specialists with considerable experience in the application of statistical techniques for investigating biological and medical issues.Biological as well as statistical...
New York: John Wiley & Sons, 2020. — 503 p. Instructs readers on how to use methods of statistics and experimental design with R software Applied statistics covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce, and research. It proceeds from a strong theoretical background,...
Routledge, 2008. — 498 p. This comprehensive text introduces readers to the most commonly used multivariate techniques at an introductory, non-technical level. By focusing on the fundamentals, readers are better prepared for more advanced applied pursuits, particularly on topics that are most critical to the behavioral, social, and educational sciences. Analogies between the...
NY: Wiley-Blackwell, 2005. — 175 p. — ISBN: 978-0-8138-1112-3. Sensory evaluation is the perception science of the food industry. Sensory data can be costly to obtain and so gleaning the most information possible from the data is key. Increasingly, value is added to sensory evaluation by the use of statistics, especially to improve the quality of product development and to make...
Cambridge University Press, 2015. — 352 p. In this book the authors describe the principles and methods behind probabilistic forecasting and Bayesian data assimilation. Instead of focusing on particular application areas, the authors adopt a general dynamical systems approach, with a profusion of low-dimensional, discrete-time numerical examples designed to build intuition about...
New York: Guilford, 2019. — 29 p. Featuring engaging examples from diverse disciplines, this book explains how to use modern approaches to quasi-experimentation to derive credible estimates of treatment effects under the demanding constraints of field settings. Foremost expert Charles S. Reichardt provides an in-depth examination of the design and statistical analysis of...
John Wiley & Sons, Inc., 2002. — 732 p. — ISBN 0-471-41889-7. Учебник по многомерному статистическому анализу, охватывающий достаточно стандартный набор тем: матричная алгебра, понятие о многомерных данных и простейшие методы их анализа, многомерное нормальное распределение, сравнение средних для векторов, многомерный дисперсионный анализ, сравнение ковариационных матриц,...
Boca Raton: CRC Press, 2024. — 273 p. This book focuses on several skew-normal mixed effects models, and systematically explores the statistical inference theories, methods, and applications of parameters of interest. This book is of academic value, since it helps to establish a series of statistical inference theories and methods for skew-normal mixed effects models. It will...
2nd edition. — CRC Press, 2022. — 501 p. — ISBN 9781032119496. Thoroughly updated throughout, this second edition will continue to be about the practicable methods of statistical applications for engineers, and as well for scientists and those in business. It remains a what-I-wish-I-had-known-when-starting-my-career compilation of techniques. Contrasting a mathematical and...
Woodhead Publishing, 2017 — 520 p. — (Woodhead Publishing Series in Food Science, Technology and Nutrition). — ISBN: 978-0-08-101009-9. This book is a one-stop-shop for practical advice and guidance on the performance and analysis of discrimination testing in sensory science. The book covers all aspects of difference testing: the history and origin of different methods, the...
Springer, 2017. — 412 p. This volume of selected and peer-reviewed contributions on the latest developments in time series analysis and forecasting updates the reader on topics such as analysis of irregularly sampled time series, multi-scale analysis of univariate and multivariate time series, linear and non-linear time series models, advanced time series forecasting methods,...
Berlin: Springer, 2006. — 1000 p. This book constitutes the refereed proceedings of the 6th International Conference on Independent Component Analysis and Blind Source Separation, ICA 2006, held in Charleston, SC, USA, in March 2006. The 120 revised papers presented were carefully reviewed and selected from 183 submissions. The papers are organized in topical sections on...
Harvard: Harvard University Press, 2017. — 395 p. In the daily news and the scientific literature, we are faced with conflicting claims about the effects caused by some treatments, behaviors, and policies. A daily glass of wine prolongs life, or so we are told. Yet we are also told that alcohol can cause life-threatening cancer and that pregnant women should abstain from drinking....
Wiley, 2019. — 253 p. — ISBN: 1119563593, 9781119563594. A concise, straightforward overview of research design and analysis, helping readers form a general basis for designing and conducting research The practice of designing and analyzing research continues to evolve with advances in technology that enable greater technical analysis of data—strengthening the ability of...
Sense Publishers, 2017. — 223 p. This book focuses on extraction of pertinent information from statistical test outputs, in order to write result sections and/or accompanying tables and/or figures. The book is divided into two encompassing sections: Part I – Basic Statistical Tests and Part II – Advanced Statistical Tests. Part I includes 9 basic statistical tests, and Part II...
New York: Springer, 1990. — 197 p. — (Springer Series In Statistics). Non-Linear Estimation is a handbook for the practical statistician or modeller interested in fitting and interpreting non-linear models with the aid of a computer. A major theme of the book is the use of 'stable parameter systems'; these provide rapid convergence of optimization algorithms, more reliable...
Academic Press, 2015. — 185 p. — ISBN: 0124171796, 9780124171794, 9780124171909, 0124171907
The practical approached championed in this book have led to increasing the quality on many successful products through providing a better understanding of consumer needs, current product and process performance and a desired future state. In 2009, Frank Rossi and Viktor Mirtchev brought...
4th ed. — Wiley, 2011. — 752 p. in color. — ISBN: 047054208X, 9780470542088 Allan Rossman's 4th Edition of Workshop Statistics: Discovery with Data, is enhanced from previousissues with more focus and emphasis on collaborative learning.It further requires student observation, and integrates technologyfor gathering, recording, and synthesizing data. The textoffers more flexibility...
4th Edition. — Caren M. Rotello, Jerome L. Myers, Arnold D. Well and Robert F. Lorch, Jr. — Routledge, 2025. — 814 p. — ISBN: 978-1-032-89728-8. This fully updated fourth edition of Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data. The guiding philosophy is to provide...
Hoboken: Wiley, 2005. — 376 p. Publication bias is the tendency to decide to publish a study based on the results of the study, rather than on the basis of its theoretical or methodological quality. It can arise from selective publication of favorable results, or of statistically significant results. This threatens the validity of conclusions drawn from reviews of published...
Revised ed. — Watertree Press, 2016. — 628 p. in color. — ISBN: 0991104641, 9780991104642
The purpose of this revised third edition is to provide users with knowledge and skills in univariate and bivariate statistics using Microsoft Excel. Bivariate statistics are especially useful in comparing two variables and discovering relationships. The book includes step-by-step examples...
New York: MacMillan Publishing Company, 1981. — 212 p. This book is written for anyone who needs or wants to know how statistics work. It assumes no expert knowledge, and teaches through words and diagrams rather than through figures, formulae and equations - providing the perfect approach for the non-mathematical reader. Written as a "tutorial in print", Derek Rowntree includes...
Chichester, JohnWiley & Sons Ltd, 2008. — 324 p.
Работа посвящена построению математических моделей (на примере медицинских и биологических задач) при помощи регрессионного анализа с использованием полиномов дробных степеней (ограничиваясь набором -2; -1; -0.5; 0; 0.5; 1; 2, причём под "степенью 0" понимается логарифмическое преобразование). Рассматриваются вопросы выбора...
Cambridge: Cambridge University Press, 2006. — 504 p. Matched sampling is often used to help assess the causal effect of some exposure or intervention, typically when randomized experiments are not available or cannot be conducted. This book presents a selection of Donald B. Rubin's research articles on matched sampling, from the early 1970s, when the author was one of the major...
Wiley, 2008. — 2278 p. — ISBN: 978-0-470-01861-3; ISBN10: 0470018615. An essential reference for statisticians, engineers, and quality professionals in industry, academia, and government, Encyclopedia of Statistics in Quality and Reliability offers an essential knowledge source in an area where one is sorely needed. Providing a practical orientation with a large selection of...
John Wiley & Sons, Inc., 2007. — 384 p. Need to know how to build and test models based on data? Intermediate Statistics For Dummies gives you the knowledge to estimate, investigate, correlate, and congregate certain variables based on the information at hand. The techniques you’ll learn in this book are the same techniques used by professionals in medical and scientific...
2nd Edition. — New York: For Dummies, 2016. — 411 p. — ISBN: 978-1-119-29352-1. Statistics For Dummies, 2nd Edition (9781119293521) was previously published as Statistics For Dummies, 2nd Edition (9780470911082). While this version features a new Dummies cover and design, the content is the same as the prior release and should not be considered a new or updated product. The fun...
John Wiley & Sons, 2023. — 563 p. The odds-on best way to master stats. Statistics All-in-One For Dummies is packed with lessons, examples, and practice problems to help you slay your stats course. Develop confidence and understanding in statistics with easy-to-understand (even fun) explanations of key concepts. Plus, you’ll get access to online chapter quizzes and other...
London: Guilford, 2010. — 370 p. This book provides a comprehensive introduction to the theory and practice of diagnostic classification models (DCMs), which are useful for statistically driven diagnostic decision making. DCMs can be employed in a wide range of disciplines, including educational assessment and clinical psychology. For the first time in a single volume, the...
Cambridge: Cambridge University Press, 2003. — 386 p. — (Cambridge Series in Statistical and Probabilistic Mathematics). — ISBN: 978-0-521-78050-6. Science abounds with problems where the data are noisy and the answer is not a straight line. Semiparametric regression analysis helps make sense of such data in application areas that include engineering, finance, medicine and...
Psychology Press, Taylor and Francis, 2013. — 423 p. Introduction to the Taxometric Method is a user-friendly, practical guide to taxometric research. Drawing from both classic and contemporary research, it provides a comprehensive introduction to the method. With helpful tools and guidance, the book is intended to teach those new to the method, as well as those already...
Chapman and Hall/CRC, 2023. — 355 p. — ISBN ISBN 9781032259543. To manage our environment sustainably, professionals must understand the quality and quantity of our natural resources. Statistical analysis provides information that supports management decisions and is universally used across scientific disciplines. Statistics in Natural Resources: Applications with R focuses on...
Wiley, 2011. — 360 p. — 2nd ed. — ISBN: 0470385553, 9780470385555
Provides an in–depth treatment of ANOVA and ANCOVA techniques from a linear model perspective ANOVA and ANCOVA: A GLM Approach provides a contemporary look at the general linear model (GLM) approach to the analysis of variance (ANOVA) of one– and two–factor psychological experiments. With its organized and...
Wiley, 2007. — 736 p. Modern Engineering Statistics presents state-of-the-art statistical methodology germane to engineering applications. With a nice blend of methodology and applications, this book provides and carefully explains the concepts necessary for students to fully grasp and appreciate contemporary statistical techniques in the context of engineering.
John Wiley & Sons, Inc. 2011. — 704 p. — ISBN: 0470590742. This new edition continues to provide the most current, proven statistical methods for quality control and quality improvement The use of quantitative methods offers numerous benefits in the fields of industry and business, both through identifying existing trouble spots and alerting management and technical personnel...
Springer, 2013. — 223 p. — ISBN: 1461487072. This textbook will help graduate students in non-statistics disciplines, advanced undergraduate researchers, and research faculty in the health sciences to learn, use and communicate results from many commonly used statistical methods. The material covered, and the manner in which it is presented, describe the entire data analysis...
Springer, 2015. — 316 p. — ISBN: 8132225139, 9788132225133
This book focuses on the meaning of statistical inference and estimation. Statistical inference is concerned with the problems of estimation of population parameters and testing hypotheses. Primarily aimed at undergraduate and postgraduate students of statistics, the book is also useful to professionals and researchers...
Philadelphia: SAGE Publications, Inc., 2007. — 1219 p. — ISBN 978-1-4129-1611-0. This book is a comprehensive overview of the most important topics in the areas of measurement and statistics. Entries that share this important information in a way that is informative; not too technical; and even, in some cases, entertaining. In fields as varying as education, politics and health...
New York: Chapman and Hall/CRC, 2017. — 169 p. — ISBN: 978-1-4987-9578-4. We live in a world that is not quite "right." The central tenet of statistical inquiry is that Observation = Truth + Error because even the most careful of scientific investigations have always been bedeviled by uncertainty. Our attempts to measure things are plagued with small errors. Our attempts to...
N.-Y.: Springer, 2007. — 306 p.
This book is about the theoretical and practical aspects of the statistics of Extreme Events in Nature. Most importantly, this is the first text in which Copulas are introduced and used in Geophysics. Several topics are fully original, and show how standard models and calculations can be improved by exploiting the opportunities offered by...
Springer, 2021. — 233 p. — ISBN 978-981-16-5935-5. The book covers computational statistics, its methodologies and applications for IoT device. It includes the details in the areas of computational arithmetic and its influence on computational statistics, numerical algorithms in statistical application software, basics of computer systems, statistical techniques, linear algebra...
CRC Press, 2022. — 275 p. — ISBN 978-0-367-71512-0. With the rapidly advancing fields of Data Analytics and Computational Statistics, it’s important to keep up with current trends, methodologies, and applications. This book investigates the role of data mining in computational statistics for Machine Learning. It offers applications that can be used in various domains and...
5th Global Edition. — Pearson, 2016. — 652 p. — ISBN: 978-1-292-10181-1. This book uses authentic examples and exercises from a wide variety of life science domains to give statistical concepts personal relevance, enabling students to connect concepts with situations they will encounter outside the classroom. The emphasis on understanding ideas rather than memorizing formulas...
4th Edition. — Pearson Education, Inc., 2012. — 668 p. Statistics for the Life Sciences is an introductory text in statistics, specifically addressed to students specializing in the life sciences. Its primary aims are (1) to show students how statistical reasoning is used in biological, medical, and agricultural research; (2) to enable students confidently to carry out simple...
5th edition. — New York: Pearson, 2018. — 649 p. — ISBN: 978-1-292-10181-1. The Fifth Edition of Statistics for the Life Sciences uses authentic examples and exercises from a wide variety of life science domains to give statistical concepts personal relevance, enabling students to connect concepts with situations they will encounter outside the classroom. The emphasis on...
Boca Raton: CRC Press. 2015. - 274p.
Recent advancements in signal processing and computerised methods are expected to underpin the future progress of biomedical research and technology, particularly in measuring and assessing signals and images from the human body. This book focuses on singular spectrum analysis (SSA), an effective approach for single channel signal analysis,...
InTech, 2012. — 230 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...
Rijeka: InTech, 2012. — 200 p. — ISBN: 978-953-51-0129-1. 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...
New York: Springer, 2021, — 139 p. This book describes how statistical methods can be effectively applied in the work of an engineer in terms that can be readily understood. Application of these methods enables the effort involved in experiments to be reduced, the results of these experiments to be fully evaluated, and statistically sound statements to be made as a result....
Springer, 2021. — 475 p. — ISBN 978-3-030-46379-3. Design Research uses scientific methods to evaluate designs and build design theories. This book starts with recognizable questions in Design Research, such as A/B testing, how users learn to operate a device and why computer-generated faces are eerie. Using a broad range of examples, efficient research designs are presented...
New York: Chapman and Hall/CRC, 2020. — 285 p. This book is for a broad audience of graduate students, researchers, and practitioners interested in the theory and application of statistical methods for meta-analysis. It is written at the level of graduate courses in statistics, but will be of interest to and readable for quantitative scientists from a range of disciplines. The...
Barry Schouten, Jan van den Brakel, Bart Buelens, Deirdre Giesen, Annemieke Luiten, Vivian Meertens - CRC Press, 2022. — 327 p. — ISBN 9781032102962. Mixed-mode surveys have become a standard at many statistical institutes. However, the introduction of multiple modes in one design goes with challenges to both methodology and logistics. Mode-specific representation and...
Wiley, 2020. — 175 p. — ISBN: 978-1-119-67585-3. This book offers a one academic term text that prepares the student to broaden their skills in statistics, probability and inference, prior to selecting their follow-on courses in their chosen fields, whether it be engineering, computer science, programming, data sciences, business or economics. The book places focus early on...
Berlin: Springer, 2013. - 69p. Methods for making inferences from data about one or more probabilities and proportions are a fundamental part of a statistician’s toolbox and statistics courses. Unfortunately many of the quick, approximate methods currently taught have recently been found to be inappropriate. This monograph gives an up-to-date review of recent research on the...
New York: Routledge, 2015. — 184 p. This manual walks students through the procedures for analysis in Stata and provides exercises that go hand-in-hand with online data sets. The manual complements the textbook Understanding Political Science Statistics: Observations and Expectations in Political Analysis, by Peter Galderisi, making it easy to use alongside the book in a course or...
New York: Springer, 2018. — 442 p. — ISBN: 9789811317354, 9811317356. Foreword Acronyms Statistics Problem of Data Representation Problem of Fitting the Distribution to the Data Problem of Estimation of Parameters Problem of Testing of Hypothesis Problem of Correlation and Regression History Necessity Applications Statistical Quality Control Basics of Probability Definition of...
New York: Springer, 2022. — 487 p. In commemoration of the bicentennial of the birth of the “lady who gave the rose diagram to us”, this special contributed book pays a statistical tribute to Florence Nightingale. This book presents recent phenomenal developments, both in rigorous theory as well as in emerging methods, for applications in directional statistics, in 25 chapters...
N.-Y.: Springer, 1999. — 347 p. This book is written in the hope that it will serve as a companion volume to my first monograph. The first monograph was largely devoted to the probabilistic aspects of the inverse Gaussian law and therefore ignored the statistical issues and related data analyses. Ever since the appearance of the book by Chhikara and Folks, a considerable number...
2nd ed. — Wiley, 2013. — 642 p. in color. — ISBN: 0470592710, 9780470592717. This Second Edition of Quantitative Reasoning empowers students to use quantitative information to make responsible financial, environmental, and health-related decisions in their daily lives. Students develop their critical thinking skills through numerous examples, explorations, and activities...
Boston: Houghton Mifflin Company, 2002. — 643 p. This is a book for those who have already decided that identifying a dependable relationship between a cause and its effects is a high priority and who wish to consider experimental methods for doing so. Such causal relationships are of great importance in human affairs. The rewards associated with being correct in identifying...
Cambridge: Cambridge Scholars Publishing, 2019. — 276 p. Multivariate analyses are popular in many areas of life and require special attention. This book covers both theoretical and applied aspects of such analyses. It begins with an overview of multivariate terminology, including joint distributions and some matrix algebra, and provides insight into various popular...
Unpublished, 2017. — 860 p. This book began as the notes for 36-402, Advanced Data Analysis, at Carnegie Mellon University. This is the methodological capstone of the core statistics sequence taken by our undergraduate majors (usually in their third year), and by undergraduate students from a range of other departments. By this point, students have taken classes in introductory...
Elsevier Science B.V., 2013. — 993 p. — (Handbook of Statistics, Vol.21). This sequel to volume 19 of Handbook on Statistics on Stochastic Processes: Modelling and Simulation is concerned mainly with the theme of reviewing and, in some cases, unifying with new ideas the different lines of research and developments in stochastic processes of applied flavour. This volume consists of...
1st edition. — Wiley, 1995. — 512 pages. The author uses a novel approach to provide conceptual discussions of the various techniques by applying geometry to present the concepts. A small data set, along with hand calculations, illustrates the main point of the method and is then analyzed using standard statistical packages such as SPSS and SAS. An annotated interpretation of...
Moh.A.Sha, BoBoCoAe, 2013. — 300 p. — ISBN: 8740304930, 9788740304930. This book is intended to introduce the concepts, definitions, and terminology of the subject in an elementary presentation with minimum mathematical background which does not surpass college algebra. The book should prepare the reader to make a good decision based on data.. The material, contained in Applied...
2nd ed. — Bookboon, 2013. — 300 p. — ISBN: 978-87-403-1210-2. Applied Statistics is a compendium, an elementary introduction to the growing field of statistics. In this consize volume we emphasize on the concepts, definitions and terminology. With no doubt in mind, linking the three building blocks, mentioned above, will provide any person with a strong hold on the subject of...
Third Edition. — Chapman & Hall/CRC, 2003. — 1184 p. — ISBN: 1584884401. The third edition of this best-selling handbook is a remarkable compendium of all the most commonly used classical statistical procedures encountered in practice and the literature. This edition comprises over 1200 pages presenting more than 130 tests — 10 of which are completely new to this edition....
Springer, 2017. — 208 p. This is the first book to compare eight LDFs by different types of datasets, such as Fisher’s iris data, medical data with collinearities, Swiss banknote data that is a linearly separable data (LSD), student pass/fail determination using student attributes, 18 pass/fail determinations using exam scores, Japanese automobile data, and six microarray...
Singapore: Springer, 2019. — 107 p. This book focuses on all-pairwise multiple comparisons of means in multi-sample models, introducing closed testing procedures based on maximum absolute values of some two-sample t-test statistics and on F-test statistics in homoscedastic multi-sample models. It shows that (1) the multi-step procedures are more powerful than single-step...
Third Edition. — Springer, 2016. — 501 p. Advanced maths students have been waiting for this, the third edition of a text that deals with one of the fundamentals of their field. This book contains a systematic treatment of probability from the ground up, starting with intuitive ideas and gradually developing more sophisticated subjects, such as random walks and the Kalman-Bucy...
Oxford: Oxford University Press, 2018. — 240 p. — (Pocket Guides to Social Work Research Methods). — ISBN: 0-199-39149-1. In social sciences, education, and public health research, researchers often conduct small pilot studies (or may have planned for a larger sample but lost too many cases due to attrition or missingness), leaving them with a smaller sample than they expected...
CRC Press, Taylor & Francis Group, 2019. — 537 p. — ISBN13: 978-1-4987-3820-0. Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to microstructure...
San Rafael, California, USA: Morgan & Claypool, 2018. — 143 p. — (Synthesis Lectures on Mathematics and Statistics 03). — ISBN: 9781598298024. The text is designed for use in a forty-lecture introductory course covering linear algebra, multivariable differential calculus, and an introduction to real analysis. The core material of the book is arranged to allow for the main...
Oxford: Oxford University Press, 2003. — 867 p.
Change is constant in everyday life. Infants crawl and then walk, children learn to read and write, teenagers mature in myriad ways, the elderly become frail and forgetful. Beyond these natural processes and events, external forces and interventions instigate and disrupt change: test scores may rise after a coaching course, drug...
Bookboon, 2013. — 79 p. — ISBN: 978-87-403-0542-5. A Handbook for Statistics provides readers with an overview of common statistical methods used in a wide variety of disciplines. The book focuses on giving the intuition behind the methods as well as how to execute methods using Microsoft Excel. Handbook for Statistics is divided into five main sections. The first section...
Oxford, Oxford University Press, 2006. - 259 p. Монография посвящена разработке методов статистического анализа на основе байесовского подхода. Рассмотрены вопросы построения байесовских оценок, проверки гипотез, выбора априорных распределений, непараметрического оценивания, планирования эксперимента и т.п. Предназначена для научных работников, аспирантов и студентов в области...
New York: Simon and Schuster, 1960. — 164 p. Steps in a Sample Survey Sampling and Nonsampling Errors Some Applications of Sampling Sampling of Accounting Data Polls, Prognosticators and Program Ratings Simple Random Sampling Stratified Sampling Cluster Sampling Systematic Sampling Interpenetrating Replicate Sub-Samples Other Sampling Methods Estimating Procedures Size of...
Springer, 2011. — 237 p. In general terms, the shape of an object, data set, or image can be de fined as the total of all information that is invariant under translations, rotations, and isotropic rescalings. Thus two objects can be said to have the same shape if they are similar in the sense of Euclidean geometry. For example, all equilateral triangles have the same shape,...
N.-Y.: Overlook Duckworth, Peter Mayer Publishers, Inc2014. - 304p.
Did you know that baseball players whose names begin with the letter D are more likely to die young? Or that Asian Americans are most susceptible to heart attacks on the fourth day of the month? Or that drinking a full pot of coffee every morning will add years to your life, but one cup a day increases the risk...
Philadelphia: SIAM, 2013. - 410 p. The field of uncertainty quantification is evolving rapidly because of increasing emphasis on models that require quantified uncertainties for large-scale applications, novel algorithm development, and new computational architectures that facilitate implementation of these algorithms. Uncertainty Quantification: Theory, Implementation, and...
New York: Springer, 2016. - 158 p.
Provides essential knowledge on and improves readers’ skills in handling student test scores
Uses concrete examples related to the readers’ day-to-day tasks and gives the readers a sense of classroom/school reality
Technical terms kept at the necessary minimum level and the language of presentation is conversational, thus avoiding the...
Boca Raton: CRC Press, 1995. — 698 p. Second Edition offers a comprehensive presentation of scientific sampling principles and shows how to design a sample survey and analyze the resulting data. Demonstrates the validity of theorems and statements without resorting to detailed proofs.
Elsevier, 2015. — 442 p. Uncertainty Quantification (UQ) is a relatively new research area which describes the methods and approaches used to supply quantitative descriptions of the effects of uncertainty, variability and errors in simulation problems and models. It is rapidly becoming a field of increasing importance, with many real-world applications within statistics,...
Thomson Learning, Inc., 2008. — 499 p. — ISBN-10: 0-495-50218-9. Basic Statistics: Tales of Distributions, Ninth Edition, is a textbook for a one-term statistics course in the social or behavioral sciences, education, or the allied health / nursing field. Its focus is conceptualization, understanding, and interpretation, rather than computation. Although designed to be...
Chapman and Hall/CRC, 2001. — 462 p. — (Тexts in Statistical Science). — ISBN10 1584881453. This new edition follows the basic easy-to-digest pattern that was so well received by users of the earlier editions. The authors substantially update and expand Applied Nonparametric Statistical Methods to reflect changing attitudes towards applied statistics, new developments, and the...
CRC Press, 2012. — 504 p. — ISBN10: 1439894574. The essence of any root cause analysis in our modern quality thinking is to go beyond the actual problem. This means not only do we have to fix the problem at hand but we also have to identify why the failure occurred and what was the opportunity to apply the appropriate knowledge to avoid the problem in the future. Essential...
6th Edition. — W.H. Freeman and Company, 2018. — 2281 p. — ISBN: 978-1-3191-1333-9, 978-1-3191-2157-0. "The Practice of Statistics" is the most trusted program for AP Statistics because it provides teachers and students with everything they need to be successful in the statistics course and on the AP Exam. With the expert authorship of high school AP Statistics veterans, Daren...
5th edition. — W.H. Freeman & Co, 2014. — 858 p. Designed to address the College Board AP Statistics Course, The Practice of Statistics combines a data analysis approach with innovative pedagogy and a number of new features. As such, The Practice of Statistics is an impressively effective text for learning statistics. The fifth edition has been updated to incorporate Learning...
New York: W. H. Freeman and Company, 2011. — 958 p. — ISBN: 978-1-4292-4559-3. Combining the strength of the data analysis approach and the power of technology, the new edition features powerful and helpful new media supplements, enhanced teacher support materials, and full integration of the TI-83 and TI-89 graphing calculators. Exploring Data Modeling Distributions of Data...
2nd Edition. — Springer, 2020. — 125 p. — (SpringerBriefs in Statistics). — ISBN: 978-3-030-49420-9. This book offers a comprehensible overview of the statistical approach called the person-centered method. Instead of analyzing means, variances and covariances of scale scores as in the common variable-centered approach, the person-centered approach analyzes persons or objects...
New York: Springer, 2014. - 94p.
This book takes an easy-to-understand look at the statistical approach called the person-centered method. Instead of analyzing means, variances and covariances of scale scores as in the common variable-centered approach, the person-centered approach analyzes persons or objects grouped according to their characteristic patterns or configurations...
New York: Springer, 2015. — 385 p. — (Springer Proceedings in Mathematics & Statistics 145). — ISBN: 978-3-319-20584-7/. This volume presents contributions on handling data in which the postulate of independence in the data matrix is violated. When this postulate is violated and when the methods assuming independence are still applied, the estimated parameters are likely to be...
Springer, 2024. — 121 p. — (Copernicus Books). — ISBN 3031612833. This book is about how statistics play a role in life, whether in business, psychology, biology, economics, or just about anything short of basket weaving. You cannot make a trip to the doctor, watch a football game, or even go to the grocery store without some statistic staring you down. Your age, weight, and...
Cambridge: MIT Press, 2004. – 193 p. – ISBN 0-262-69315-1 This book is intended to provide the essentials of independent component analysis (ICA) using intuitive examples described in simple geometric terms. The tutorial style adopted should make this book suitable for readers of varying mathematical sophistication, from the almost innumerate enthusiast to the research scientist....
High Wycombe: Griffin, 1984. — 106 p. This book is a revision of the earlier volume entitled Basic ideas of Scientific Sampling, and includes a new section on Quota Sampling and Non-Response in Sampling. It sets out to explain, in the least technical manner possible, the ideas underlying the theory of sampling, which is the basis of the rather elaborate survey procedures now...
New York: Springer, 2015. - 351p.
This text provides a framework in which the main objectives of the field of uncertainty quantification (UQ) are defined and an overview of the range of mathematical methods by which they can be achieved. Complete with exercises throughout, the book will equip readers with both theoretical understanding and practical experience of the key...
Singapore: Springer, 2016. - 77 p. This book highlights the estimation of crop yield in Central Gujarat, especially with regard to the development of Multiple Regression Models and Principal Component Regression (PCR) models using climatological parameters as independent variables and crop yield as a dependent variable. It subsequently compares the multiple linear regression...
New York: Springer, 2016. — 267 p. — (Lecture Notes in Statistics 218). — ISBN: 978-3-319-31258-3. This proceedings volume contains eight selected papers that were presented in the International Symposium in Statistics (ISS) 2015 On Advances in Parametric and Semi-parametric Analysis of Multivariate, Time Series, Spatial-temporal, and Familial-longitudinal Data, held in St....
Nova Science Publishers, Inc., 2019. — 482 p. — ASIN 153615122X. We utilize statistics in our daily life: when we evaluate TV program ratings, predict voting results, prepare stocks, make sales predictions, and when we evaluate the effectiveness of medical treatments, to name a few. We predict the results not on the basis of personal experience, but on the basis of data....
7th ed. — New York: Pearson, 2019. — 850 p. — ISBN 0134790545, 9780134790541. For advanced undergraduate and graduate courses in Social Statistics. An in-depth introduction to today's most commonly used statistical and multivariate techniques Using Multivariate Statistics, 7th Edition presents complex statistical procedures in a way that is maximally useful and accessible to...
5th Edition. — Boston: Pearson, 2006. — 1008 pages. — ISBN: 0205459382 / 9780205459384 This text takes a practical approach to multivariate data analysis, with an introduction to the most commonly encountered statistical and multivariate techniques. Using Multivariate Statistics provides practical guidelines for conducting numerous types of multivariate statistical analyses. It...
6th Edition. — Pearson Education, Inc. 2012. — 984 p. — ISBN: 0205890814, 0205849571. A Practical Approach to using Multivariate Analyses. Using Multivariate Statistics, 6th edition provides advanced undergraduate as well as graduate students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming...
New York: Prentice-Hall, 2000. — 736 p. This book provides a one-year calculus-based coverage of statistics and data analysis that spans from the very beginnings of the subject to intermediate level topics in mathematical statistics. We wrote this book with two main goals in mind. The first goal is to introduce the basic concepts and commonly used methods of statistics in a...
CRC Press, 2022. — 249 p. — (Texts in Statistical Science Series). — ISBN 978-0-367-63937-2. Прикладная линейная регрессия для продольных данных: с акцентом на отсутствующие наблюдения This book introduces best practices in longitudinal data analysis at intermediate level, with a minimum number of formulas without sacrificing depths. It meets the need to understand statistical...
Boca Raton: CRC Press, 2012. — 363 p.
This book focuses on statistical analysis of discrete data, including categorical and count outcomes. Discrete variables are abundant in practice, and knowledge about and ability to analyze such data is important for professionals and practitioners in a wide range of biomedical and psychosocial research areas.
Although there are some...
2nd edition. — CRC Press/Chapman & Hall, 2023. — 395 p. — (Texts in Statistical Science). — ISBN 978-0-367-56827-6. Developed from the authors’ graduate-level biostatistics course, Applied Categorical and Count Data Analysis, Second Edition explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. The authors have been teaching...
Sage, 2000. — 176 p. — ISBN: 0-7619-6027-9. This accessible introduction to the theory and practice of longitudinal research takes the reader through the strengths and weaknesses of this kind of research, making clear: how to design a longitudinal study; how to collect data most effectively; how to make the best use of statistical techniques; and how to interpret results....
Springer, 2009. — 353 p. — (Springer Series in Statistics). — ISBN 978-0-387-92709-1. Comparing Distributions refers to the statistical data analysis that encompasses the traditional goodness-of-fit testing. Whereas the latter includes only formal statistical hypothesis tests for the one-sample and the K-sample problems, this book presents a more general and informative...
Springer, 2016, - 745 p. Mathematical Analysis, Approximation Theory, and Their Applications highlights the classical and new results in important areas of mathematical research. These include essential achievements in pure mathematical analysis and approximation theory, as well as some of their fascinating applications. The contributed papers have been written by experts from the...
Wiley, 1989. — 256 p. — ISBN: 9780471601050. A hands-on approach to the basic principles of empirical model building. Includes a series of real-world statistical problems illustrating modeling skills and techniques. Covers models of growth and decay, systems where competition and interaction add to the complexity of the model, and discusses both classical and nonclassical data...
Second Edition. — Boca Raton: Chapman & Hall/CRC, 2001. — 455 p. — ISBN: 1-58488-242-5. Statistical Process Control: A Brief Overview Quality Control: Origins, Misperceptions A Case Study in Statistical Process Control If Humans Behaved Like Machines Pareto's Maxim Deming's Fourteen Points QC Misconceptions, East and West White Balls, Black Balls The Basic Paradigm of...
Routledge, 2024. - 222 p. - ISBN 1032640774. Statistical Analysis: The Basics provides an engaging and easy‑to‑read primer on this sometimes daunting subject. Intended for those with little or no background in mathematics or statistics, this book explores the importance of statistical analysis in the modern world by asking statistical questions about data and explains how to...
Springer, 2002. — 693 p. Univariate statistical analysis is concerned with techniques for the analysis of a single random variable. This book is about applied multivariate analysis. It was written to provide students and researchers with an introduction to statistical techniques for the analysis of continuous quantitative measurements on several random variables simultaneously....
Elsevier Science & Technology Books, 2000. — 721 p. — ISBN: 0126913609.
Multivariate statistics and mathematical models provide flexible and powerful tools essential in most disciplines. Nevertheless, many practicing researchers lack an adequate knowledge of these techniques, or did once know the techniques, but have not been able to keep abreast of new developments. The...
Hoboken: Wiley, 2016. — 699 p. Introduction to Statistical Investigations, Binder Ready Version leads students to learn about the process of conducting statistical investigations from data collection, to exploring data, to statistical inference, to drawing appropriate conclusions. The text is designed for a one-semester introductory statistics course. It focuses on genuine...
Academic Press, 2022. — 460 p. — ISBN 978-0-12-815861-6. Statistical Modeling using Local Gaussian Approximation extends powerful characteristics of the Gaussian distribution, perhaps, the most well-known and most used distribution in statistics, to a large class of non-Gaussian and nonlinear situations through local approximation. This extension enables the reader to follow...
SAGE Publications, 2015. - 816p. - ISBN: 9781483318790 This thematically-based textbook places statistics within the research process, illustrating how statistics are used to answer questions and test ideas. Students learn not only how to calculate statistics, but also how to interpret the results of statistical analyses in light of a study’s research hypothesis and to communicate...
Oxford University Press, 2021. — 334 p. — ISBN 978–0–19–886933–7. The statistical analyses that students of the life-sciences are being expected to perform are becoming increasingly advanced. Whether at the undergraduate, graduate, or post-graduate level, this book provides the tools needed to properly analyze your data in an efficient, accessible, plainspoken, frank, and...
Springer, 2024. - 411 p. - ISBN 9819730937. This textbook reconstructs the statistics curriculum from the perspective of posterior probability. In recent years, there have been several reports that the results of studies using significant tests cannot be reproduced. It is a problem called a “reproducibility crisis” . For example, suppose we could reject the null hypothesis that...
Cape Town: Juta And Company, 2019. — 681 p. Statistics and quantitative methods are brought to life for social science students in this tutorial course. This revised edition provides an overview of entry- and intermediate-level statistics, and the material on the accompanying website provides extensive practice. Both the text and the website are structured to make learning...
14th edition. — Pearson, 2022. — 868 p. Statistics influences and shapes the world around us. Best-selling author Marty Triola is committed to keeping Elementary Statistics current — with an unprecedented amount of current real data — so that students of all majors understand the role of statistics. Introduction to Statistics Exploring Data with Tables and Graphs Describing,...
12th Edition. — Boston: Pearson, 2012. — 913 p.
From SAT scores to job search methods, statistics influences and shapes the world around us. Marty Triola’s text continues to be the bestseller because it helps students understand the relationship between statistics and the world, bringing life to the theory and methods.The Twelfth Edition contains more than 1,800 exercises, 89%...
2nd edition. — New York: Pearson, 2017. — 729 p. For courses in Introductory Statistics Real-world applications connect statistical concepts to everyday life. Biostatistics for the Biological and Health Sciences uses a variety of real-world applications to bring statistical theories and methods to life. Through these examples and a friendly writing style, the 2nd Edition...
Boca Raton: CRC Press, 2016. — 405 p.
Statistical Techniques for Neuroscientists introduces new and useful methods for data analysis involving simultaneous recording of neuron or large cluster (brain region) neuron activity. The statistical estimation and tests of hypotheses are based on the likelihood principle derived from stationary point processes and time series....
Addison Wesley, 1977. — 711 p. — ISBN: 0201076160, 9780201076165
The approach in this introductory book is that of informal study of the data. Methods range from plotting picture-drawing techniques to rather elaborate numerical summaries. Several of the methods are the original creations of the author, and all can be carried out either with pencil or aided by hand-held...
Routledge, 1989. — 396 p. — (Westview Studies in Agriculture Science and Policy). — ISBN: 0813377463, 9780813377469. Scan. Scholarly text presents a practical guide to methods of policy analysis. Includes discussions of the conceptual foundations and applications of regression analysis and statistical methods; the use of microcomputers in policy analysis; demand theory and...
New York: Springer, 2021. — 177 p. This book provides a practical guide to the analysis of data from randomized controlled trials (RCT). It gives an answer to the question of how to estimate the intervention effect in an appropriate way. This problem is examined for different RCT designs, such as RCTs with one follow-up measurement, RCTs with more than one follow-up...
Cambridge: Cambridge University Press, 2006. — 195 p. This is a practical introduction to multilevel analysis suitable for all those doing research. Most books on multilevel analysis are written by statisticians; those books are difficult for non-mathematical researchers. In contrast, this volume provides an accessible account on the practical application of multilevel analysis...
United nations. New York and Geneva, 2006. 2007. — 376 pages. ISBN: 9211169526. Statistical Data Editing: Impact on Data Quality, is the third in the series of Statistical Data Editing. publications produced by the participants of the United Nations Economic Commission for Europe. (Uniece) work Sessions on Statistical Data Editing (Sde). While the first two volumes dealt with....
New York: Springer Science+Business Media, 2013. — 640 p. — ISBN: 146146448X. Survey sampling is fundamentally an applied field. The goal in this book is to put an array of tools at the fingertips of practitioners by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized...
2nd Edition. — Springer, 2018. — 787 p. — (Statistics for Social and Behavioral Sciences). — ISBN: 331993631X. The goal of this book is to put an array of tools at the fingertips of students, practitioners, and researchers by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some...
Cambridge University Press, 2004. — 343 p. The effort to build machines that are able to learn and undertake tasks such as data mining, image processing and pattern recognition has led to the development of artificial neural networks in which learning from examples may be described and understood. The contribution to this subject made over the past decade by researchers applying...
NY: Springer, 2003. — 399 p. — (Springer Series in Statistics). — ISBN: 978-1-4419-3055-2. During the last decades, there has been an explosion in computation and information technology. This development comes with an expansion of complex observational studies and clinical trials in a variety of fields such as medicine, biology, epidemiology, sociology, and economics among many...
Springer, 2018. — 655 p. This textbook for graduate students in statistics, data science, and public health deals with the practical challenges that come with big, complex, and dynamic data. It presents a scientific roadmap to translate real-world data science applications into formal statistical estimation problems by using the general template of targeted maximum likelihood...
Boca Raton: CRC Press, 2018. — 609 p. — (Statistics in the Social and Behavioral Sciences Series) — ISBN: 978-1-4665-1433-1 Drawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume 3: Applications presents applications of item response theory to practical testing problems. While item response theory may be known primarily...
Berlin: Springer, 2010. — 310 p. This book combines longitudinal research and latent variable research, i.e. it explains how longitudinal studies with objectives formulated in terms of latent variables should be carried out, with an emphasis on detailing how the methods are applied. Because longitudinal research with latent variables currently utilizes different approaches with...
Oxford: Oxford University Press, 2015. – 706 p. – ISBN: 978-0-19-932587-0 The book provides an accessible but comprehensive overview of methods for mediation and interaction. There has been considerable and rapid methodological development on mediation and moderation/interaction analysis within the causal-inference literature over the last ten years. Much of this material...
Boca Raton: CRC Press, 2019. — 439 p. Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral scientists. Assuming some familiarity with introductory statistics, the book begins by briefly describing a variety of study designs used in...
Duxbury Press, 2010. — 648 p.
"Statistical Methods for Engineers" offers a balanced, streamlined one-semester introduction to Engineering Statistics that emphasizes the statistical tools most needed by practicing engineers. Using real engineering problems with real data based on actual journals and consulting experience in the field, users see how statistics fits within the...
Springer, 2010. — 813 p.
The "Handbook of Partial Least Squares (PLS) and Marketing: Concepts, Methods and Applications" is the second volume in the series of the Handbooks of Computational Statistics. This Handbook represents a comprehensive overview of PLS methods with specific reference to their use in Marketing and with a discussion of the directions of current research and...
N.-Y.: The Guilford Press, 2014. — 500 p. — ISBN: 978-1-4625-1602-5. What are the most effective methods to code and analyze data for a particular study? This thoughtful and engaging book reviews the selection criteria for coding and analyzing any set of data-whether qualitative, quantitative, mixed, or visual. The authors systematically explain when to use verbal, numerical,...
Berlin: Springer, 2022. — 401 p. This unique book provides a comprehensive and detailed coverage of configural frequency analysis (CFA), the most useful method of analysis of categorical data in person-oriented research. It presents the foundations, methods, and models of CFA and features numerous empirical data examples from a range of disciplines that can be reproduced by the...
Cambridge: Cambridge University Press, 2023. — 189 p. — ISBN 1009322176. General Linear Model methods are the most widely used in data analysis in applied empirical research. Still, there exists no compact text that can be used in statistics courses and as a guide in data analysis. This volume fills this void by introducing the General Linear Model (GLM) , whose basic concept...
University of Stockholm, 2007. — 202 p. In experimental work e.g. in physics one often encounters problems where a standard statistical probability density function is applicable. It is often of great help to be able to handle these in different ways such as calculating probability contents or generating random numbers. For these purposes there are excellent text-books in...
2nd ed. — Wiley, 2014. — 320 p. — ISBN: 1119942136, 9781119942139
This book provides a comprehensive and up to date treatment of theory and practical implementation in Register-based statistics. It begins by defining the area, before explaining how to structure such systems, as well as detailing alternative approaches. It explains how to create statistical registers, how to...
CRC Press, 2011. — 380 p. — (Monographs on Statistics and Applied Probability 121). — ISBN: 978-1-4200-7756-8. Statistical analysis often involves building mathematical models that examine the relationship between dependent and independent variables. This book is about a general class of powerful and flexible modeling techniques, namely, spline smoothing. Research on smoothing...
New York: Routledge, 2013. — 521 p. This comprehensive and uniquely organized text is aimed at undergraduate and graduate level statistics courses in education, psychology, and other social sciences. A conceptual approach, built around common issues and problems rather than statistical techniques, allows students to understand the conceptual nature of statistical procedures and...
Amsterdam: Elsevier, 2016. — 138 p. — ISBN: 978-0-12-804513-8. "What information do these data reveal?" "Is the information correct?" "How can I make the best use of the information?" The widespread use of computers and our reliance on the data generated by them have made these questions increasingly common and important. Computerized data may be in either digital or analog...
SAGE Publications, Inc, 2020. — 713 p. Rebecca M. Warner’s bestselling Applied Statistics: From Bivariate Through Multivariate Techniques has been split into two volumes for ease of use over a two-course sequence. Applied Statistics II: Multivariable and Multivariate Techniques, Third Edition is a core multivariate statistics text based on chapters from the second half of the...
Los Angeles: SAGE Publications, 2013. — 1691 p. Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require...
NY: Springer, 2004. — 442 p. — (Springer Texts in Statistics). This book is for people who want to learn probability and statistics quickly. It brings together many of the main ideas in modern statistics in one place. The book is suitable for students and researchers in statistics, computer science, data mining and machine learning. This book covers a much wider range of topics...
New York: The Guilford Press, 2016. — 202 p. — (Methodology in the Social Sciences). — ISBN: 9781462525652. Examining the major approaches to hypothesis testing and model selection, this book blends statistical theory with recommendations for practice, illustrated with real-world social science examples. It systematically compares classical (frequentist) and Bayesian...
Springer, 2015. — 267 p. The Stochastic Integral in General Hilbert Spaces. SDEs in Finite Dimensions. SDEs in Infinite Dimensions and Applications to SPDEs. SPDEs with Locally Monotone Coefficients.
Hoboken, John Wiley & Sons, Inc., 2005. — 335 p.
Учебник по линейному регрессионному анализу, включающий в себя графические методы, одномерную и множественную регрессии, проверку значимости, взвешенную регрессию, полиномиальную, логистическую и нелинейную общего вида регрессии, отбор значимых переменных и анализ остатков. Для специалистов, применяющих регрессионный анализ.
CRC Press, 2014. — 434 p. — 2nd ed. — ISBN: 1466560991. Highly recommended by JASA, Technometrics, and other journals, the first edition of this bestseller showed how to easily perform complex linear mixed model (LMM) analyses via a variety of software programs. Linear Mixed Models: A Practical Guide Using Statistical Software, Second Edition continues to lead readers step by...
3rd edition. — CRC Press, 2022. — 490 p. — ISBN 978-1-032-01932-1. Highly recommended by JASA, Technometrics, and other leading statistical journals, the first two editions of this bestseller showed how to easily perform complex linear mixed model (LMM) analyses via a variety of software programs. Linear Mixed Models: A Practical Guide Using Statistical Software, Third Edition...
New York : Chichester : Brisbane : Toronto : Singapore: John Wiley & Sons, 1993, 360 p.
Combines recent developments in resampling technology (including the bootstrap) with new methods for multiple testing that are easy to use, convenient to report and widely applicable. Software from SAS Institute is available to execute many of the methods and programming is straightforward...
Berlin: Springer, 2014. — 343 p.
Arising from the fourth Dagstuhl conference entitled Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data (2011), this book offers a broad and vivid view of current work in this emerging field. Topics covered range from applications of the analysis of tensor fields to research on their mathematical and...
Boca Raton: CRC Press, 2025. — 267 p. Generalized Kernel Equating is a comprehensive guide for statisticians, psychometricians, and educational researchers aiming to master test score equating. This book introduces the Generalized Kernel Equating (GKE) framework, providing the necessary tools and methodologies for accurate and fair score comparisons. The book presents test...
London: Routledge, 2017. — 332 p. This practical introduction to second-order and growth mixture models using Mplus introduces simple and complex techniques through incremental steps. The authors extend latent growth curves to second-order growth curve and mixture models and then combine the two. To maximize understanding, each model is presented with basic structural...
Wiley, 2021. — 435 p. — ISBN 9781119523079. Covers the latest developments in direction dependence research Direction Dependence in Statistical Modeling: Methods of Analysis incorporates the latest research for the statistical analysis of hypotheses that are compatible with the causal direction of dependence of variable relations. Having particular application in the fields of...
Academic Press, 2003. — 608 p. — ISBN: 0127515410, 978-0127515410. Applying Contemporary Statistical Techniques explains why traditional statistical methods are often inadequate or outdated when applied to modern problems. Wilcox demonstrates how new and more powerful techniques address these problems far more effectively, making these modern robust methods understandable,...
Pearson College Div, 1995. — 680 p. — ISBN: 0131816454, 9780131816459. This book explores the standard problem-solving techniques of multivariable mathematics ? integrating vector algebra ideas with multivariable calculus and differential equations. Provides many routine, computational exercises illuminating both theory and practice. Offers flexibility in coverage ? topics can...
Springer, 2015. — 264 p. — (ICSA Book Series in Statistics). — ISBN: 9783319238043, 9783319238050 Statistical tools to analyze correlated binary data are spread out in the existing literature. This book makes these tools accessible to practitioners in a single volume. Chapters cover recently developed statistical tools and statistical packages that are tailored to analyzing...
Boca Raton: CRC Press, 2022. — 528 p. — (Chapman & Hall/CRC Texts in Statistical Science). — ISBN 036753794X. Data Science students and practitioners want to find a forecast that “works” and don’t want to be constrained to a single forecasting strategy, Time Series for Data Science: Analysis and Forecasting discusses techniques of ensemble modelling for combining information...
Chicago: MESA Press, 1982. — 223 p. This is a book about constructing variables and making measures. We begin by outlining the requirements that a number must meet before it qualifies as a “ measure” of something. Our requirements for measurement may seem stringent, but they are not new. They characterize all the instances of useful scientific measurement that we have been able to...
N Y: John Wiley & Sons, 2006. — 402 p. — (Wiley Series in Probality and Statistics). — ISBN: 978-0-471-48350-2. Incorporates mixed-effects modeling techniques for more powerful and efficient methodsThis book presents current and effective nonparametric regression techniques for longitudinal data analysis and systematically investigates the incorporation of mixed-effects...
Boca Raton: CRC Press, 2012. — 337 p. — (Data Mining and Knowledge Discovery Series). — ISBN10: 1439869464. Drawing on the authors’ two decades of experience in applied modeling and data mining, Foundations of Predictive Analytics presents the fundamental background required for analyzing data and building models for many practical applications, such as consumer behavior...
Taylor and Francis Group, LLC, 2010. — 419 p. Although standard mixed effects models are useful in a range of studies, other approaches must often be used in correlation with them when studying complex or incomplete data. Mixed Effects Models for Complex Data discusses commonly used mixed effects models and presents appropriate approaches to address dropouts, missing data,...
New York: Springer, 2005. — 163 p. The main emphasis is on the inference problem for the change point and post-change parameters after a change has been detected. More specifically, due to the convenient form and statistical properties, the author concentrates on the CUSUM procedure. The goal is to provide some quantitative evaluations on the statistical properties of...
Springer, 2023. — 611 p. — (Springer Actuarial). — ISBN 978-3-031-12408-2. This book discusses the statistical modeling of insurance problems, a process which comprises data collection, data analysis and statistical model building to forecast insured events that may happen in the future. It presents the mathematical foundations behind these fundamental statistical concepts and...
Springer, 2015. — 78 p. The book offers a valuable resource for students and statisticians whose work involves survey sampling. An estimation of the population parameters in finite and fixed populations assisted by auxiliary variables is considered. New sampling designs dependent on moments or quantiles of auxiliary variables are presented on the background of the classical...
New York: Springer, 1997. — 430 p.
Placing data in the context of the scientific discovery of knowledge through experimentation, Practical Data Analysis for Designed Experiments examines issues of comparing groups and sorting out factor effects and the consequences of imbalance and nesting, then works through more practical applications of the theory. Written in a modern and...
New York: Springer, 2014. — 99 p. This brief reviews concepts of inter-relationship in modern industrial processes, biological and social systems. Specifically ideas of connectivity and causality within and between elements of a complex system are treated; these ideas are of great importance in analysing and influencing mechanisms, structural properties and their dynamic...
Boca Raton: CRC Press, 2013. — 322 p. — (Interdisciplinary Statistics Series). — ISBN: 978-1-4665-0753-1. Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors’ collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models...
New York: State University of New York Press, 1988. — 363 p. In an exciting return to the roots of factor analysis, Allen Yates reviews its early history to clarify original objectives created by its discoverers and early developers. He then shows how computers can be used to accomplish the goals established by these early visionaries, while taking into account modern...
Springer Science+Business Media, LLC, 2017. — 497 p. — (Springer Series in Statistics) — ISBN: 1493966383. This monograph on measurement error and misclassification covers a broad range of problems and emphasizes unique features in modeling and analyzing problems arising from medical research and epidemiological studies. Many measurement error and misclassification problems...
Springer, 2011. — 523 p. This is a revised version of the 1984 book of the same name but considerably modified and enlarged to accommodate the developments in recursive estimation and time series analysis that have occurred over the last quarter century. Also over this time, the CAPTAIN Toolbox for recursive estimation and time series analysis has been developed by my...
CRC, 2022. - 294p - ISBN: 0367365472 Third-variable effect refers to the effect transmitted by third-variables that intervene in the relationship between an exposure and a response variable. Differentiating between the indirect effect of individual factors from multiple third-variables is a constant problem for modern researchers. Statistical Methods for Mediation, Confounding...
Springer International Publishing AG, 2017. — 141 p. — (Lecture Notes in Mathematics 2203) — ISBN: 978-3-319-67058-4. The material presented in this manuscript was developed for different applications and published in many papers which are listed among the references.My colleagues recommended that I gather all this material into one manuscript, to have it readily available to...
Cambridge University Press, 2010. — 300 p. This textbook for a second course in basic statistics for undergraduates or first-year graduate students introduces linear regression models and describes other linear models. Numerous examples drawn from current events with an emphasis on health issues illustrate these concepts. Assuming only a pre-calculus background, the author...
2nd Edition. — Springer, 2022. — 469 p. — (Statistics for Biology and Health). — ISBN 978-3-031-13004-5. This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source, shareware program R, Professor Zelterman demonstrates the process and outcomes...
New York: Springer, 2016. - 698p.
This book serves as a reference text for regulatory, industry and academic statisticians and also a handy manual for entry level Statisticians. Additionally it aims to stimulate academic interest in the field of Nonclinical Statistics and promote this as an important discipline in its own right. This text brings together for the first time in a...
Boca Raton: CRC Press, 2025. — 259 p. Preface Mathematical Foundations of Intelligent Fatigue Statistics Basic Knowledge of Probability Theory Random Variable Functions and Moment Generating Functions Several Commonly Used Distributions Basic Knowledge of Statistics Computer Basics of Intelligent Statistical Fatigue Application of Excel in Probability Statistics Introduction to...
Zolfaghari B., Bibak K., Koshiba T., Nemati H., Mitra P. – CRC Press, 2021. — 161 p. — ISBN 978-0-367-75455-6. Physically Unclonable Functions (PUFs) translate unavoidable variations in certain parameters of materials, waves, or devices into random and unique signals. They have found many applications in the Internet of Things (IoT), authentication systems, FPGA industry,...
Учеб. пособие. – Пермь: Изд-во Перм. гос. техн. ун-та, 2008. – 174 с. – ISBN: 978-5-398-00030-6. Содержит материал для самостоятельного изучения основных положений прикладной статистики и освоения с помощью MS Excel техники статистической обработки реальных данных в ходе инженерной и управленческой практики. Содержание примерно соответствует третьей части популярного учебника и...
М.: Статистика, 1974. — 240 с. Работа посвящена описанию методов классификации объектов (стран, городов, предприятий, семей, индивидуумов и т. д.), заданных набором количественных признаков. Значительное место в работе уделено методам, позволяющим выбрать из большого числа исходных признаков, характеризующих состояние объекта, сравнительно небольшое число наиболее существенных...
М.: Юнити-Дана. 2001. — 270 с. — ISBN: 5-238-00303-X.
Учебник содержит необходимый теоретико-методический материал, а также задачи и упражнения по математической статистике и прикладному многомерному статистическому анализу. Математический аппарат, необходимый для решения предложенных в книге задач и упражнений, не выходит за рамки современных курсов по данным дисциплинам,...
М.: Наука, 1978. — 394 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 объектов. Для...
Учебное пособие. — М.: МГСУ, 2015. — 152 с. — ISBN: 978-5-7264-1076-0. Освещены вопросы планирования и обработки результатов эксперимента в области строительных материалов. Изложены процедуры математической обработки для оценки результатов эксперимента, проверки статистических гипотез. Рассмотрены вопросы планирования эксперимента с целью математического описания и выявления...
М.: Мир, 1976. — 756 с. Монография известного американского специалиста по математической статистике содержит обстоятельное изложение теории статистических выводов для различных вероятностных моделей. Излагаются методы представления временных рядов, оценивания параметров соответствующих вероятностных моделей, проверки гипотез относительно их структуры. Собранный автором...
Н.С. Еремеева, Т.В. Лебедева. Оренбург: Оренбургский государственный университет, 2017. — 246 с. Учебное пособие составлено в соответствии с требованиями Федерального государственного образовательного стандарта высшего образования, подготовлено в соответствии с рабочей программой курса «Статистическая методология в научных исследованиях» для аспирантов, в т.ч. и для...
СПб.: Санкт-Петербургский политехнический университет Петра Великого, 2024. — 80 с. Учебное пособие соответствует образовательному стандарту высшего образования Федерального государственного автономного образовательного учреждения высшего образования «Санкт-Петербургский политехнический университет Петра Великого» по направлению подготовки бакалавров 01.03.02 и магистров...
Учебное пособие. — Казань: КГТУ, 2010. — 126 с. Излагаются теоретические основы и методика применения методов многомерного статистического анализа. Рассмотрены методы: кластеризации (кластерный анализ), идентификации (дискриминантный анализ), выявления статистической зависимости (корреляционно-регрессионный анализ) и снижения размерности многомерного пространства факторов...
Конспект лекцій. – Запоріжжя. Конспект лекцій містить основні відомості з сучасних методів аналізу даних, зокрема: методів побудови описової статистики, перевірки гіпотез, дисперсійного, кореляційного, факторного і регресійного аналізу, методів класифікації даних. Посібник призначено для студентів напрямів 0802 – Прикладна математика та 0804 – Комп’ютерні науки. Його також...
Навчальний посібник для студентів. — Запоріжжя : КПУ, 2011. — 268 с. — ISBN: 978-966-414-103-8. Подано відомості про основні поняття, теоретичні підґрунтя та математичні методи аналізу даних. Розглянуто основні параметри описової статистики, методи побудови емпіричних функцій розподілу, принципи побудови й критерії перевірки гіпотез про однорідність вибірок та їх відповідність...
Курс лекций. В 2 ч. Ч. 1: – Минск: БГУ, 2011. – 91 с. ISBN: 978-985-518-490-5. В первой части курса лекций изложены основные понятия и теоремы классической математической статистики. Большинство теорем снабжены доказательствами, различные статистические методы иллюстрируются при-мерами с решениями. Предназначено для студентов математических специальностей, освоивших курсы...
Москва, Ленинград: Государственное технико-теоретическое издательство, 1933. — 122 с. Книга ставит себе задачей показать на примере глубокое проникновение методов учения о совокупностях в какое-нибудь типичное массовое производство, — в данном случае выбрано производство ламп накаливания.
Учебное пособие. — Самара: Самарский университет, 2024. — 116 с.: ил. В данном пособии приводятся основные сведения из теории случайных величин и случайных процессов, необходимые для моделирования и анализа стохастических динамических систем. Обсуждаются наиболее распространённые подходы к оценке выполнения тактико-технических требований в условиях случайных внешних воздействий...
Учебное пособие – Томск: Изд-во Томского политехнического университета, 2012. – 188 с.
В пособии в общедоступной форме изложены основные математико-статистические методы, применяемые в прикладных гуманитарных и технических исследованиях. Изложение материала сопровождается примерами статистической обработки результатов экспериментальных исследований.
Предназначено для...
Монография. — М.: Научная книга, 2008. — 158 с. — (Библиотека Солев). — ISBN: 9785913930231. Корреляционные связи — это узел, в котором сплетаются важнейшие элементы теории и практики анализа статистических данных. В этой небольшой книге для тех, кто не имеет математического образования, но хочет осмысленно использовать статистические процедуры, на конкретных примерах...
Уч. пособие. — М.: МГИЭТ (ТУ), 2001. — 113 с.: ил. Пособие написано на основе курсов лекций и практических занятий по основам прикладной статистики для инженеров. Рассматриваются такие вопросы, как описательные статистики, графические способы представления данных, случайные величины и распределения, точечные оценки и доверительные интервалы для параметров, подгонка...
Москва-Иваново: Издательство Ивановской промышленной области, 1933. — 145 с. Скан. Этот курс математической статистики является результатом занятий со студентами и аспирантами Иваново-Вознесенского Текстильного института. Подбор вопросов математической статистики определяется целями книги — служить пособием инженеру-текстильщику. Книга требует знания высшей математики в объеме...
Учебное пособие. — Ленинград: Военно-морская орденов Ленина и Ушакова академия, 1974. — 282 с. В учебной пособии изложены вопросы математической обработки результатов измерений, встречающихся в навигационной и гидрографической практике. Предназначено для слушателей Академии. Может быть использовано преподавателями высших военно-морских училищ ВМФ.
Учебное пособие. — Пер. с англ. О.И.Волкова. Ред. Е.В.Чепурин. — М.: Мир; АСТ, 2003. — 686 с. — ISBN: 5-03-003478-1. Учебное пособие по статистическим методам и их применению в прикладных науках с использованием численных методов, написанное известным математиком-прикладником (Германия). В книге отражена связь строгих математических методов с практическими приложениями. После...
М.: Мир, 1975. — 313 с. Книга представляет собой краткое введение в статистический анализ данных наблюдений и предназначена для лиц, не являющихся математиками, но которым в своей практической работе приходится иметь дело с использованием статистических методов обработки данных. Книга состоит из 12 глав и 6 небольших приложений. Первые главы посвящены краткому изложению основ...
СПб.: Лань, 2016. — 152 с.: ил. — (Учебники для вузов. Специальная литература). — ISBN: 9785811422296. В учебном пособии излагаются как основные разделы классического курса математической статистики, так и дополнительные разделы, не входящие в основной курс, но имеющие широкое применение на практике. В книгу включены такие разделы, как статистическое оценивание параметров...
М.: Физматлит, 1961. — 228 с. В книге изложен метод статистических испытаний (метод Монте-Карло). Цель книги состоит в том, чтобы ознакомить инженеров и научных работников с основными особенностями метода Монте-Карло, с его возможностями и областями применения. Предисловие Введение Выработка на электронных цифровых вычислительных машинах совокупности случайных чисел Постановка...
Учебное пособие. – Ульяновск: УлГТУ, 2008. – 130 с.
В пособии содержатся краткие сведения об алгоритмах прикладной математической статистики, примеры расчетов в среде электронных таблиц Excel и системе Statistica, а также варианты для выполнения индивидуальных заданий. Для студентов технических и экономических специальностей вузов, изучающих курс "Теория вероятностей и...
М.: Физматлит, 1984. — 816 с. Книга представляет собой практическое руководство, посвященное вопросам восстановления зависимостей по выборкам ограниченного объема. После изложения теоретических основ и описания алгоритмов приведены библиотеки программ распознавания образов, восстановления многомерной регрессии, решения некорректных задач интерпретации измерений, составленные на...
М.: Статистика, 1970. — 159 с. — (Математическая статистика для экономистов) — ISBN: N\A. В книге рассматриваются построение вариационных рядов и их графическое изображение, приводятся виды вариации, характеризуется значение средних величин, дисперсии, моментов и показателей симметрии. Изложение иллюстрируется примерами из практики экономики и планирования. Книга предназначена...
Учебно пособие. — София: Софийски университет, 2003. — 92 с.
На български език.
Записки по приложна статистика, предназначени за студенти от математическите дисциплини на Софийски университет Климент Охридски- факултет по математика и информатика.
Основно съдържание:
Данни и тяхното представяне.
Прости статистически методи.
Нормално разпределение в R^n.
Математическа...
Специальный справочник. — СПб.: Питер, 2001. — 750 с.: ил. — ISBN: 5-318-00220-X.
Здесь вы найдете краткое описание большого количества алгоритмов анализа данных, с которыми приходилось работать авторам, а также известных математических методов, применяющихся в этих алгоритмах. Достаточно полно даны прокомментированные исходные тексты компьютерных программ, реализующих эти...
Учебное пособие. – Сыктывкар: СЛИ, 2013. – 60 с. ISBN: 978-5-9239-0498-7. В учебном пособии приведены методика проведения полного факторного эксперимента, примеры расчетов основных статистических характеристик, выполняемых на практических занятиях по дисциплине. Предназначено для студентов всех форм обучения направления. бакалавриата 250400.62 «Технология лесозаготовительных и...
ДМК Пресс, 2022. — 750 с. Регрессия – это статистический метод, который позволяет найти уравнение, наилучшим образом описывающее совокупность данных. Регрессионный анализ позволяет моделировать, проверять и исследовать пространственные отношения, а в ряде случаев устанавливать причинно-следственные связи между независимыми и зависимыми переменными. В этой книге представлен...
Москва: Статистика, 1972. — 78 с. В книге излагается связь между математико-статистическими категориями и их графическим изображением. Рассматривается графическая модель нормального распределения, графические методы анализа распределения, графические изображения при статистическом анализе зависимости между двумя переменными величинами, применение графиков при корреляционном...
СПб: СПбПУ, 2020. — 114 с. Пособие соответствует ФГОС ВПО по направлению 16.03.01 «Техническая физика», магистерские программы 16.03.01_01 "Физика и техника полупроводников", 16.04.01_02 "Физика структур пониженной размерности", 16.04.01_08 "Физика медицинских технологий". Изложены методы извлечения информации о физических процессах из экспериментальных данных. Задачи линейной...
Учебное пособие. — Владивосток: Владивостокский государственный университет экономики и сервиса (ВГУЭС), 2006. — 80 с. — ISBN 5-9736-0059-9. Пособие разработано в соответствии с программой курса, а также требованиями государственного образовательного стандарта к учебной дисциплине «Математическая статистика» для специальности «Математические методы в экономике». Содержит...
М.: Наука, 1971. — 328 с. В книге дается систематическое изложение теоретических основ и практических методов построения оптимальных и субоптимальных алгоритмов решения обратных задач на ЭЦВМ. Изложение базируется на статистической теории проверки гипотез и оценивания параметров. Большое внимание уделено исследованию качества оптимальной интерпретации и выяснению пороговых...
М.: Военная академия механизации и моторизации Красной армии им. Сталина, 1940. — 64 с. Написанное простым языком с большим числом примеров пособие по применению математической статистики в промышленности.
М.: ДМК Пресс, 2017. — 272 с. Данная книга представляет собой практическое руководство по применению метода деревьев решений и случайного леса для задач сегментации, классификации и прогнозирования. Каждый раздел книги сопровождается практическим примером. Кроме того, книга содержит программный код SPSS Syntax, R и Python, позволяющий полностью автоматизировать процесс...
СПб.: Лань, 2021. — 356 с. — ISBN 9785811479658. Книга посвящена описанию структур и алгоритмов для индексирования обработки многомерных данных. В ней систематизированы наиболее важные подходы, описаны их математические и логические принципы построения, проанализированы достоинства и недостатки. Содержится большое число примеров листинга, позволяющее более детально разобраться...
Монография. — Пенза: Пензенский государственный университет архитектуры и строительства, 2014. — 168 с. — ISBN: 978-5-9282-1036-6. Содержит результаты многолетних исследований в области математического моделирования, непосредственно связанного с решением задач интерполяции, аппроксимации и оптимизации при анализе и синтезе сложных систем различного назначения. Монография...
М.: Горячая Линия - Телеком, 2012. — 156 с. Рассмотрены методы кластеризации технического состояния зданий и сооружений в условиях неопределенности, основанные на комплексном использовании инструментария теории нечётких множеств и генетических алгоритмов, позволяющего устранить недостатки существующих аналогов, обеспечивая при этом высокую обоснованность и адекватность принимаемых...
Владимир: ВлГУ, 2017. — 124 с. — ISBN: 978-5-9984-0781-9. Излагаются способы построения математических моделей, основанных на приведении статистических зависимостей к линейному виду и последующем преобразовании к единой форме математического представления, независимо от степени нелинейности и взаимосвязи исходных данных. Разработаны методы построения моделей для процессов с...
Интернет-трейдинг, 2004. — 262 c. — ISBN: 5902360021. Методы Монте-Карло – увлекательнейший раздел современной математики и статистических численных экспериментов. Они позволяют оценивать величины, о которых нам известна лишь форма распределения их вероятности. Одним из очевидных примеров таких величин может служить ценовая динамика активов на финансовых рынках, типа, акций,...
Издательство: авторское
16 с.
Всем известно, что имеется три вида лжи: во-первых, ложь вынужденная, которая извинительна, во-вторых, ложь низкая – ей нет никакого извинения, и в третьих, - статистика (это высказывание приписывается то Марку Твену, то Дизраели). Собственно, основная ценность статистики заключается в том, что она позволяет делать выводы о свойствах большой...
М.: Гостехиздат, 1955. - 558 с. Эта книга должна была по нашему первоначальному замыслу представлять попытку систематического и по возможности полного изложения с современных позиций основных вопросов теории вероятностей и математической статистики в их технических приложениях в предельно простой форме, доступной инженеру и студенту втуза. Книга предназначена для...
М.: Статистика, 1978. — 144 с. — (Библиотечка иностранных книг для экономистов и статистиков). Данное уникальное издание содержит весьма подробное изложение как основ теории статистических процедур парных сравнений, так и решение примеров по этим методам. Причём эти упражнения даны по каждой из глав. Парные сравнения приобретают все большее значение по мере распространения...
М.: Финансы и статистика, 1988. — 254 с. Данная книга посвящена многомерному шкалированию, которое находит широкое применение при анализе экспериментальных данных в экономике, технике, социологии и других областях. Многомерное шкалирование представляет собой математический инструментарий, предназначенный для обработки данных о попарных сходствах, связях или отношениях между...
Томск: Изд-во Томского политехнического университета, 2011. — 144 с. В пособии приведены необходимые для решения практических инженерных задач теоретические сведения о случайных величинах, системах случайных величин и случайных процессах. Изложены методы статистического оценивания их основных характеристик. Рассмотрены статистические методы планирования экспериментальных...
Пер. с фр. Б. Г. Миркин. — М.: Финансы и статистика, 1988. — 342 с. — (Математико-статистические методы за рубежом). В книге изложена методика кластерного анализа, разработанная под руководством известного специалиста, президента французского Общества классификации М. Жамбю. Описан эффективный алгоритм классификации для задач большой размерности с продвинутыми средствами...
Минск: Белгосуниверситет, 1998. — 240 с. Книга посвящена проблеме устойчивости (робастности) в кластер-анализе многомерных наблюдений при нарушениях традиционных модельных предположений: присутствие в выборке аномальных наблюдений ("выбросов"), пропуски значений компонент у классифицируемых наблюдений, стохастическая зависимость элементов выборки. Исследуется также устойчивость к...
Учебник. — Тула: Тульский государственный университет, 2017. — 232 с. — ISBN: 978-5-7679-3921-3. Г.М. Журавлев, А.Е. Гвоздев, А.С. Пустовгар, С.В. Сапожников. Рассмотрены основные сведения о применения методов математической статистики в решении задач планирования и управления качеством выпускаемой продукции. Представлен краткий обзор основ математической статистики, и...
Учебное пособие. — М.: Московский университет, 1987. — 240 с. Посвящено подробному изучению стационарных и однородных систем с точки зрения их спектральных характеристик. Рассматриваются оптимальные статистики, исследуются свойства устойчивости или робастности таких статистик. Вводится новый класс статистики спектральной плотности, обладающий наряду с высокой эффективностью...
Монография. — М.: Московский университет, 1982. — 168 с. В монографии построена теория старших порядков стационарных случайных процессов в условиях их регулярности. Исследуются асимптотические свойства выборочных оценок спектральных плотностей временных рядов, изучаются вопросы эффективности и помехозащитности таких статистик. Монография адресована научным работникам,...
Коллектив авторов. — Курск: КГМУ, 2017. — 164 с. — ISBN: 978-5-7487-2006-9. В учебном пособии рассмотрены теоретические и практические аспекты применения статистических методов анализа для исследования социально-экономических явлений и процессов. Предмет и методы статистики. Метод группировки и его место в системе статистического анализа. Применение показателей вариации в...
Учебное пособие. — Томск: Томский государственный университет (ТГУ), 2019. — 124 с. В работе рассматриваются основы работы в пакете R с примерами решения задач статистического анализа данных и применения основных методов прикладной статистики. Для студентов и аспирантов университетов, а также исследователей, применяющих методы прикладной статистики для анализа данных в...
Кемерово: Кемеровский государственный университет, 2018. — 235 с. Учебное пособие разработано по дисциплине «Прикладная статистика». В пособии представлено многообразие методов статистического анализа в виде упорядоченной, иерархически взаимосвязанной системы. Описаны основы применения этих методов, алгоритмы их выбора в зависимости от условий задачи исследования, разобраны...
2-е изд., дополн. — Кемеровский государственный университет, 2010. — 107 c. — ISBN: 9785835310296. Учебное пособие по курсу «Идентификация стохастических объектов» предназначено для студентов специальности «Прикладная математика и информатика» математического факультета. Пособие разработано в соответствии с требованиями ГОС ВПО и соответствует курсу лекций, читаемому в течение...
Учебное пособие. — Пермь: Пермский национальный исследовательский политехнический университет, 2022. — 320 с. — ISBN 978-5-398-02787-7. Приведён теоретический и практический материал по дисциплинам «Математическая статистика в горном и нефтяном деле» и «Методы математической статистики в прикладной геодезии» в области многомерной статистики. Предназначено для студентов 4-го...
Пермь: Издательство Пермского национального исследовательского политехнического университета, 2022. — 276 с. — (Пермский политех). — ISBN 978-5-398-02766-2. Приведён теоретический и практический материал по дисциплинам «Математическая статистика в горном и нефтяном деле» и «Методы математической статистики в прикладной геодезии». В пособии приводятся примеры статистического...
М.: Наука, 1976. — 736 с. Книга является последним томом трехтомного курса статистики М. Кендалла и А. Стьюарта, первый том которого вышел в 1966 г. под названием «Теория распределений», а второй — в 1973 г. под названием «Статистические выводы и связи». В книге содержатся сведения по дисперсионному анализу, планированию экспериментов, теории выборочных обследований,...
М.: МГУ. 1969 — 122 с.
В 1968/69 учебном году автором были прочитаны лекции по прикладной математической статистике в Вычислительном центре и на механико-математическом факультете МГУ. Этот выпуск представляет из себя записи первых 14 лекций.
М.: МГУ. 1969 — 168 с.
В 1968/69 учебном году автором были прочитаны лекции по прикладной математической статистике в Вычислительном центре и на механико-математическом факультете МГУ. В предыдущем выпуске этой же серии (Прикладная математическая статистика, часть I) представлены записи первых 14 лекций. В частности рассмотрены такие методы, как дискриминантный и факторный...
Учебное пособие. – Ульяновск: УлГТУ, 2009. – 133 с. ISBN: 978-5-9795-0422-3. В пособии содержатся краткие сведения об алгоритмах прикладной статистики, контроля качества и надежности, примеры и задания для выполнения расчетов в среде электронных таблиц OpenOffice.org Calc. Для студентов технических и экономических специальностей вузов, изучающих курсы «Теория вероятностей и...
М.: Физматлит, 2006.— 816 с. В книге рассматриваются способы анализа наблюдений методами математической статистики. Последовательно на языке, доступном специалисту - не математику, излагаются современные методы анализа распределений вероятностей, оценки параметров распределений, проверки статистических гипотез, оценки связей между случайными величинами, планирования...
Архангельск: ИД САФУ, 2014. — 115 с.
Пособие содержит теоретические основы комбинаторики, теории вероятностей и математической статистики, описываются методы этих наук применительно к филологии и языкознанию. Даны практические задания, лабораторные работы, рекомендуемая литература, программа курса.
Издание адресовано студентам, обучающимся по направлению подготовки...
М.: Статистика, 1976. — 440 с.: ил. Книга содержит систематическое изложение методов отбора, оценивания и вычисления ошибок выборки при выборочных обследованиях. Вывод формул оценок и их выборочных дисперсий сопровождается многочисленными примерами из практики английской и американской статистики. Рассмотрены преимущества, недостатки и условия применения различных способов...
М.: Мир, 1984. — 200 с. Краткая сводка основных понятий и методов математической статистики. Содержит множество примеров приложения теории к конкретным статистическим задачам. Послужит хорошим дополнением к книгам Д. Кокса н Д. Хинкли "Теоретическая статистика" (М.: Мир, 1978), "Задачи по теоретической статистике с решениями" (М.: Мир, 1981). Книга будет полезна студентам,...
Учебное пособие. — Пермь: Пермский государственный гуманитарно-педагогический университет (ПГГПУ), 2011. — 109 с. В учебном пособии кратко изложены теоретические основы дисперсионного анализа как средства оценки факторных эффектов в социально-экономических исследованиях. Даны рекомендации по использованию статистической системы Statistica. Приведены примеры обработки...
Львів: Новий Світ - 2000, 2012. — 408 с. У навчальному посібнику викладено теоретичні засади математичної статистики в супроводі з практичними застосуваннями в STATISTICA 6.0. Запропоновані численні завдання з відповідями для аудиторної та самостійної роботи студентів економічних напрямів підготовки, що допоможе їм оволодіти сучасними методами статистичного моделювання...
Москва: Государственное издательство физико-математической литературы, 1961. — 623 с. Перевод с английского О.В. Бруханской, Ф.С. Соловейчика, К.Н. Трофимова. Под редакцией Б.Р. Левина. Настоящая книга является руководством по применению математической статистики для целей технического контроля, как текущего, так и приёмочного (главным образом по качественному признаку)....
Учебное пособие. — СПб: Балтийский государственный технический университет им. Д.Ф. Устинова (БГТУ) "Военмех", 2008. — 76 с. ISBN: 978-5-85546-406-1. Рассматриваются статистические понятия и методы, которые наиболее часто применяются в механических исследованиях, расчётах и экспериментах. Приводятся понятия и примеры, позволяющие раскрыть основные приемы, которые можно...
Учебно-методическое пособие. — СПб.: Университет ИТМО, 2022. — 119 с. Учебно-методическое пособие по дисциплине "Статистические методы в инженерных исследованиях" содержит изложение основ теории случайных процессов и статистической обработки данных применительно к системам управления, элементы теории марковских процессов, математических методов планирования эксперимента,...
М.: ИПИ РАН, 2011. — 146 с. — ISBN: 978-5-91993-001-3. Монография посвящена задачам подбора распределений данных, которые могут быть компромиссом между наблюденными значениями, теоретическими возможностями работы с математическими моделями и потребностью строить содержательный вывод. При этом внимание сосредотачивается на случае многомерных данных и малой выборки, когда ее...
М.: Физматлит, 2012. — 308 с. — ISBN: 5922110683, 9785922110686. Основная цель книги — ознакомить читателя с наиболее эффективными и апробированными классическими и новыми стохастическими и детерминированными методами оценки и прогнозирования, научить использовать эти методы при решении конкретных задач обработки данных. Изложены основные понятия параметрической и...
Учебное пособие. — Ульяновск: Ульяновский государственный технический университет (УлГТУ), 2019. — 197 с. — ISBN: 978-5-9795-1826-2. Учебное пособие посвящено изучению статистических методов прогнозирования. По каждой теме в пособии представлены теоретические сведения, примеры решения задач, задачи для самостоятельного выполнения, методические рекомендации и варианты заданий...
М.: Московский технологический институт пищевой промышленности, 1974. — 177 с. Предложен математический аппарат для аппроксимации зависимостей различного вида и рассмотрены возможности его приложения к различным практическим задачам.
Учебное пособие. — Владимир: Владимирский государственный университет им. А.Г. и Н.Г. Столетовых (ВлГУ), 2018. — 184 с. — ISBN: 978-5-9984-0845-8. Представлены в обобщающем виде основные этапы комплексного анализа данных на основе многомерных методов математической статистики. Изложены теоретические аспекты прогнозирования временных рядов, наиболее часто используемых в...
Учебное пособие. — СПб.: Северо-Западная академия государственной службы (СЗАГС), 2005. — 208 с.: прил. — ISBN 5-89781-172-5. Учебное пособие содержит основные сведения из теории вероятностей и математической статистики, необходимые для управленцев. Объекты теории вероятностей рассматриваются как математические модели для результатов наблюдений. Основное внимание уделяется...
М.: ДМК Пресс, 2021. — 305 с. Статистика в наши дни стала незаменимой наукой в области не только естественных, но и общественных дисциплин. В этой книге рассказывается о видах статистики, рассматриваются основные понятия, описываются различные методы анализа данных. Множество графиков, таблиц и иллюстраций дополняет и упрощает изучение теории. Для выполнения тех видов анализа,...
М.: Финансы и статистика. 1981. — 126 с. — (Библиотечка иностранных книг для экономистов и статистиков). Пособие-памятка. Пер. с нем. Книга Ю. Кюна «Описательная и индуктивная статистика», вышла в ФРГ вторым изданием в серии «Методология статистики». Подобных книг о методах прикладной математики в последние два десятилетия на Западе издавалось много. Их популярность объясняется...
5 изд. — М.: БИНОМ, 2015. — 473 с. 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 рисунков, контрольных вопросов и числовых примеров. Для студентов,...
М.: НИТУ МИСиС, 2016. — 74 с. В учебном пособии излагаются основы статистического анализа временных рядов, в частности вопросы определения характеристик временного ряда и корреляции временных рядов. Рассматриваются процедуры пакета MS Excel и пакета прикладных программ STATISTICA, которые применяются для решения этих задач.
Москва: МГТУ, 2016. — 156 с. Данный курс преподавался в Московском государственном техническом университете 2016 г. (текущее название курса кафедры ФН-2: «Теория вероятностей и математической статистики»). Работа с лекциями подразумевает активное использование MatLAB. В тексте лекций размещены примеры задач, которые можно копировать в рабочую область MatLAB или в область...
Интернет-издание, 2023. — 62 с. Всё, что вы хотели узнать о статистических тестах, их математической подоплёке и реализацией на Python в одном курсе! Чему вы научитесь Узнаете какие статистические тесты существуют Разберетесь с математической концепцией каждого теста Узнаете когда какой тест применять Научитесь формулировать нулевую и альтернативную гипотезу Изучите реализацию...
Дрогобич: Видавнича фірма "Відродження", 2006. - 208 с. У навчально-методичному посібнику розглянуто найчастіше вживані методи прикладного статистичного аналізу даних. Кожен розділ посібника відповідає певній групі методів і містить опис прикладної задачі, статистичних засобів її дослідження, необхідне теоретичне обґрунтування та приклади застосування до реальних даних за...
Монография. — Саратов: Саратовский государственный университет, 1974. — 137 с. Монография посвящена рассмотрению вопросов возникновения и развития технологической статистики е СССР; дается определение объекта её изучения, рассматривается связь этого раздела статистической науки с другими науками, изучающими производственный процесс, обсуждаются основные черты технологического...
Перевод с английского. — М.: Энергоатомиздат, 1983. — 416 с. Данное издание является уникальным как по составу разделов, так и по изложению материала. Уровень изложения даже сложных методов статистики очень доступен для чтения как начинающим знакомство со статистикой, так и для преподавателей. Все описанные методы сопровождаются многими примерами их использования. Это делает...
Учебное пособие. — Дубна: Государственный университет "Дубна", 2021. — 64 с. Введение Многомерные случайные величины Понятие многомерной случайной величины Закон распределения многомерной случайной величины Функция распределения многомерной случайной величины и ее свойства Плотность совместного распределения вероятностей непрерывной двумерной случайной величины (двумерная...
Томск: Томский политехнический университет, 2014. — 102 с. Пособие содержит теоретический материал по математическим основам курса «Многомерный статистический анализ эколого-геохимических измерений»: краткие теоретические сведения по теории вероятностей и многомерным статистическим методам; учет особенностей статистического анализа в случае малых выборок; наглядные графические...
Учебное пособие. — Томск: Томский государственный университет систем управления и радиоэлектроники, 2022. — 118 с. В пособии представлены классические разделы математической статистики: выборка и эмпирическое распределение, оценка параметров распределений, точечные и интервальные оценки параметров распределений, оценка законов распределений вероятностей случайных чисел,...
Учебное пособие. — Томск: ТУСУР, 2015. — 86 с.
В учебном пособии рассмотрены основные разделы прикладной математической статистики – выборка, точечные и интервальные оценки параметров распределений вероятностей, методы анализа законов распределения вероятностей случайных величин, проверка гипотез о значениях параметров распределений, дисперсионный анализ зависимостей,...
Без выходных данных. Данный документ содержит подробное описание функций пакета MatLAB Statistics Toolbox с большим количеством примеров использования. Более 700 страниц подробной информации с полностью составленным рубрикатором. закладками и кроссылками Сборник включает 20 различных распределений вероятностей, включая T, F и Хи-квадрат. Функции и примеры разделены на группы: -...
М.: Финансы и статистика, 1988. — 350 с.: ил. — (Математико-статистические методы за рубежом) В книге новозеландского ученого представлен широкий набор методов и алгоритмов, применяемых в регрессионном анализе, — метод декомпозиции матриц Холецкого, алгоритм ортогонализации Грама — Шмидта и др. Алгоритмы иллюстрированы простыми числовыми примерами и текстами программ на...
Учеб. пособие. — Минск: Белорус. гос. ун-т культуры и искусств, 2009. — 203 с. — ISBN 978-985-6798-58-3. Строятся и исследуются системы непрерывных распределений, заданные многопараметрическими плотностями. Рассматриваются вопросы их практического применения. Устанавливаются универсальные законы рассеяния и старения публикаций. Рекомендуется студентам, аспирантам,...
М.: МЗ-Пресс, 2004. — 513 с. — (Статистические методы). Впервые систематически рассматривается одна из четырех основных областей современной прикладной математической статистики - статистика нечисловых данных. Она порождена в 70-х годах XX в. потребностями прикладных социально-экономических, технических и медико-биологических исследований. Основой ее математического аппарата...
М.: Экзамен, 2004. — 483 с. Учебник посвящен основным методам современной прикладной статистики. В нем рассматриваются вероятностно - стратегические основы, проблемы прикладной статистики - описание данных, оценивание, проверка гипотез. Описываются методы стратегического анализа числовых величин, многомерного статистического анализа, временных рядов, статистики нечисловых и...
Учебное пособие. — Барнаул: Алтайский университет, 2023. — 95 с. Учебное пособие предназначено для студентов вузов, обучающихся по специальностям «Прикладная информатика», «Математика и информатика». Введение. Основы статистических методов анализа данных. Классический вариант интервального анализа данных. Численные методы интервального анализа данных. Исследование моделей и...
Омск: Издательство СибАДИ, 2003. — 74 c. Учебное пособие составлено на основании рабочей программы дисциплины ''Статистика'' и предназначено для студентов всех форм обучения СибАДИ. Рассмотрены следующие разделы курса: выборка, ее графическое представление и числовые характеристики, двумерные выборки, временные ряды, экономические индексы. Изложение сопровождается подробно...
Красноярск : СФУ, 2013. - 87 с.
Учебно-методическое пособие является частью электронного учебно-методического комплекса по дисциплине «Прикладной анализ случайных величин», включающего учебную программу дисциплины, учебно-методическое пособие, учебно-методическое пособие для самостоятельной работы, лабораторный практикум, контрольно-измерительные материалы. Предназначено для...
Учебно-методическое пособие. — Екатеринбург: Уральский федеральный университет им. Первого президента России Б.Н. Ельцина (УрФУ), 2020. — 188 с. — ISBN: 978-5-7996-3021-8. Учебно-методическое пособие поможет студентам в формировании профессиональных компетенций, необходимых для принятия управленческих решений на основе анализа эмпирической информации. Пособие содержит краткий...
Учебное пособие. — М.: Финансовый университет при Правительстве Российской Федерации, 2019. — 137 с. Дисциплина «Анализ данных» является базовой компонентой цикла математических и естественнонаучных дисциплин ФГОС ВПО по направлению 38.03.02 «Менеджмент». Учебное пособие предназначено для студентов заочной формы обучения и содержит перечень основных тем в соответствии с рабочей...
Учебно-методическое пособие. — Минск: Белорусский национальный технический университет (БНТУ), 2022. — 76 с. — ISBN 978-985-583-757-3. Учебно-методическое пособие содержит четыре лабораторные работы. Рассматриваются примеры автоматизации статистических вычислений с помощью пакетов Excel, Statistica. Приводятся типовые задачи с использованием компьютерных технологий, а также...
М.: Мир, 2005. — 142 с. — ISBN: 5-03-003656-3. В книге изложен вероятностный подход к описанию погрешностей и представлены простейшие распределения. Рассматривается функция распределения случайной переменной, проблема распространения ошибок, выборка экспериментальных данных, среднее и дисперсия выборки, распределение "Хи-квадрат" и Стьюдента. Представлен целый ряд методов,...
Волгоград: ИУНЯ ВолгГТУ, 2011. — 149 с. Учебное пособие предназначено для студентов специальностей 120100 «Технология машиностроения» и 200503 «Стандартизация и сертификация» высших технических учебных заведений. Пособие содержит краткие теоретические сведения, решения типовых примеров и задания для самостоятельной работы. Кроме задач алгоритмически-вычислительного характера в...
Учебное пособие по дисциплинам "Бесколлекторный привод ЭПС", "Электронные преобразователи для ЭПС". Иркутск: ИрГУПС, 2012 - 88с.
Учебное пособие предназначено для студентов очной и заочной форм обучения при обосновании ими технических решений на основе анализа случайных факторов, которые воздействуют на технические комплексы и системы. Пособие может быть полезно специалистам при...
М.; Л.: Госпланиздат, 1939. — 254 с. Потребность в учебнике по промышленной статистике остро ощущается как преподавателями, так и учащимися в наших учебных заведениях. Между тем до настоящего времени не было издано ни одной достаточно общедоступной и сжатой по изложению учебной работы по промышленной статистике.
Саранск. изд-во Мордовского университета, 2006. 164 с.
В пособии дано подробное описание статистических методов анализа данных, представленных как в количественной, так и в неколичественной шкалах. Рассматриваются вопросы их применения для решения задач прикладной статистики, а также использования специализированных программных средств, представлены краткие описания и...
Учебно-методическое пособие. — Красноярск: Сибирский федеральный университет, 2016. — 47 с. Изложены следующие разделы математической статистики: «Парная и множественная регрессия», «Проверка статистических гипотез», наиболее часто использующихся при обработке результатов наблюдений (экспериментов). Изложение теоретического материала сопровождается решением практических задач с...
М.: : ДМК Пресс. 2014. — 174 с. В книгу вошли основные сведения по MS Excel и классическим методам непараметрической статистики, применяемым к независимым выборкам, парным наблюдениям и таблицам сопряженности, реализующие эти методы программы VBA и технологии решения типовых задач в MS Excel. Данные технологии представлены, как пошаговыми решениями (без применения макросов),...
Учебное пособие. — Екатеринбург: Уральский университет, 2024. — 188 с. Пособие предназначено для знакомства с основами теории вероятностей и освоения основных математико-статистических методов оценки параметров и тестирования статистических гипотез при решении практических задач. Текст содержит большое количество примеров. При работе над книгой авторы опирались на свой...
М.: Физматгиз, 1959. — 436 с. Книга излагает основные сведения по математической статистике и теории вероятностей, необходимые для приложений. Важнейшие статистические методы и приемы иллюстрируются примерами из опыта советских и зарубежных предприятий. Детально разбирается методика расчетов. Изложение доступно для читателя, владеющего лишь основами математического анализа в...
Учебное пособие. — Рудный: РИИ, 2013. — 80 с. — ISBN: 9965-845-70-0. В учебном пособии изложены теоретические вопросы некоторых разделов дисциплины «Методы обработки информации»: понятие статистики как науки, группировка, вариационные ряды и их статистические показатели. Для самопроверки знаний в каждой теме представлены контрольные вопросы. Приведены решения задач, тесты для...
Москва ; Свердловск : Машгиз. Урало-Сиб. отд-ние, 1960. — 175 с. Книга содержит краткие сведения из теории математической статистики и описание методов практического применения математической статистики в технологии машиностроения.
Монография. — 2-е изд. — Новосибирск: Сибирское отделение РАН, 2012. — 282 с. В книге представлено доступное изложение некоторых базовых понятий прикладной статистики, информация о наиболее используемых классических методах обработки данных, справочный материал по программам пакета Snedecor. Книга рекомендуется молодым исследователям-биологам (студентам, стажерам, аспирантам),...
М.: Вузовская книга, 2010. — 384 с.: ил. — ISBN: 978-5-9502-0426-5 Излагаются методы статистического анализа случайных величин по выборке ограниченного объема. Особое внимание уделяется новым инженерным методам точечного и интервального оценивания стабильных и переменных параметров распределения дискретных и непрерывных случайных величин, а также методам проверки статистических...
Навчальний посібник. — Запоріжжя: Запорізький національний технічний університет (ЗНТУ), 2015. — 175 с. Викладені теоретичні відомості та розглянуті комп’ютерні технології для основних методів статистичної обробки даних. Зроблен аналіз існуючих програм і пакетів статистичної обробки даних. На прикладах вирішення конкретних задач з різних галузей науки і техніки показано...
Монография. — М.: Наука, 2022. — 231 с. Монография посвящена применению дифференциальной энтропии для моделирования процессов в сложных системах. Излагается общая теория векторного энтропийного моделирования для описания многомерных стохастических систем. При этом стохастическая система может быть представлена в виде случайного вектора. Энтропия впервые рассматривается как...
Монография. — Воронеж: Научная книга, 2016. — 156 с. Монография посвящена применению дифференциальной энтропии для моделирования процессов в сложных системах. Излагается общая теория энтропийного моделирования для описания многомерных стохастических систем. При этом стохастическая система может быть представлена в виде случайного вектора. Установлен триализм дифференциальной...
3-е, перераб. и доп. изд. — М.: Инфра-М, 2002. — 528 с. — ISBN: 5862256628 Качество: слой распознанного текста. Книга является учебным пособием по анализу данных и статистике, рассчитанными на прикладных специалистов, менеджеров и студентов. Излагаются основные сведения, необходимые на практике для анализа данных, на наглядных примера рассматриваются основные постановки задач....
Учебное пособие. — Москва: МЦНМО, 2016. — 368 с.: ил. — ISBN 978-5-4439-1011-6. В учебном пособии без лишнего формализма излагаются основные идеи и понятия математической статистики, необходимые на практике для анализа данных. На примерах подробно рассмотрены важнейшие постановки статистических задач и методы их решения, включая расчеты на компьютере в пакете SPSS....
Под ред. В. Э. Фигурнова. — М.: Инфра-М, 1998. — 528 с. Книга является учебным пособием по анализу данных и статистике, рассчитанными на прикладных специалистов, менеджеров и студентов. Излагаются основные сведения, необходимые на практике для анализа данных, на наглядных примера рассматриваются основные постановки задач. а затем эти же примеры решаются с использованием...
ДМК Пресс, 2025. — 596 с. Причинно-следственный анализ – это метод статистического анализа данных, помогающий выявить, как одно событие влияет на другое. Прочитав данную книгу, читатели научатся находить причинно-следственные связи в данных, применять правильные методы анализа и оценивать достоверность полученных выводов. Издание предназначено специалистам по анализу данных, а...
Нижний Новгород: ННГАСУ, 2017. — 68 с. — ISBN: 978-5-528-00223-1. Рассматривается задачи статистического анализа, возникающие в различных областях строительства, таких как анализ характеристик строительных материалов, проектирование, возведение и эксплуатация строительных конструкций, экономике строительного производства, маркетинговых исследованиях и ряда других областей....
М.: Финансы и статистика, 1989. — 319 с. — ISBN: 5-279-00249-6. В книге американского автора рассмотрены статистические методы, важные с практической точки зрения в экономических, социологических и медико-биологических исследованиях. Исследованы, в частности, проблемы оценивания относительных частот, определения объема выборки при анализе долей и отношений, измерения степени...
Учебное пособие. — М.: Либроком, 2013. — 384 с. Настоящее издание посвящено описанию статистических методов, которые позволяют при ограниченных объемах анализируемых изделий с заданной степенью точности и достоверности судить об изменении состояния качества выпускаемой продукции, что обеспечивает принятие верных управленческих решений не на основе интуиции, а при помощи научных...
М.: Мир, 1969. — 395 с. Книга посвящена одной из проблем математической статистики - функциям распределения, встречающимся в инженерной практике. Вначале приводятся элементарные сведения по теории вероятностей, а затем рассматриваются непрерывные и дискретные распределения и их применимость при решении различных задач. Две главы отведены эмпирическим распределениям. Отдельная...
Пер. с англ. А. К. Звонкина. — М.: Статистика, 1980. — 95 с.: ил. — (Б-чка иностр. книг для экономистов и статистиков). Справочник охватывает широкий набор случайных величин. Подробно описываются 24 важнейших и наиболее часто встречающихся типа распределений. Даются функция распределения, функция плотности или массы, преобразование Лапласа функции плотности, характеристическая...
М.: ДМК Пресс, 2023. — 176 с. Непонимание статистики – важная проблема в нашем обществе. Благодаря компьютерным технологиям собирать статистические данные стало проще, но главную задачу – правильно обработать результаты – по-прежнему берет на себя человек. Из этой книги вы узнаете, как использовать и интерпретировать статистику и статистические данные в различном окружении....
М.: Мир, 1973. — 957 с. Книга посвящена методам построения и анализа математических моделей с использованием статистических приемов. Рассматриваются модели, основанные на теоретических закономерностях, и эмпирические модели. Большое внимание наряду с обычными моделями в виде алгебраических уравнений уделяется моделям более сложной структуры, выраженным обыкновенными...
Новосибирск: НГТУ, 2012. — 196 с. Пособие содержит теоретические описания, алгоритмы применения и примеры непараметрических критериев проверки связи и различия статистических данных.
М.: Мир, 1970. — 295 с. Запись лекций, прочитанных для сотрудников Европейского центра ядерных исследований. Лекции в основном посвящены трем очень важным для физиков вопросам: проверке гипотез, методу максимального правдоподобия, анализу регрессий. Книга представит интерес не только для физиков, но и специалистов других областей науки и техники, а также инженеров и всех, кто...
Улан-Удэ: Издательство Бурятского Госуниверситета, 2017. — 146 с. Настоящее учебное издание представляет собой учебнометодическое пособие для дисциплин «Прикладной анализ данных» и «Технология обработки и анализа данных» в рамках реализации образовательной программы высшего образования по направлениям подготовки бакалавров 02.03.03 Математическое обеспечение и администрирование...
М.: Яндекс, 2009. — 260 с. — ISBN: 590469601-9. Лекции Школы анализа данных Яндекса. Издательство осуществляется при поддержке компании «Яндекс». Основным достоинством этой книги является весьма доступное изложение сложных статистических методов, которые широко используются в компьютерных программах статистического анализа данных. Задача восстановления зависимостей....
М.: Статистика, 1977. — 200 с. Эта книга о статистических методах, применяемых при прогнозировании экономических показателей. Автор рассматривает пути использования трендов и регрессий, проблемы обработки динамических рядов, оценки параметров различного рода кривых и доверительных интервалов. В специальном приложении рассматриваются математические основы нелинейного метода...
М.: Наука, 1980. — 512 c.: ил. Книга содержит изложение теории и практики классического дисперсионного анализа (ANOVA), разработанного основателем прикладной статистики Р. Фишером. В частности, рассмотрены как однофакторный, так и многофакторный дисперсионный анализ. Дано вполне доступное изложение процедур множественных сравнений. Такие сравнения в практике весьма полезны,...
М.: Финансы и статистика, 2000. — 224 с. Автор — ведущий научный сотрудник механико-математического факультета МГУ им. М.В. Ломоносова. В книге рассмотрены стохастические задачи, возникающие в практических приложениях, их устойчивые решения. Обобщены и развиты достижения, полученные в этой области за последние полвека. Для преподавателей, аспирантов и студентов, специализирующихся...
Пер. с англ. — Черноголовка: ИПХФ РАН, 2005. — 160 с. Это пособие расскажет об использовании современных подходов к моделированию многомерных и многофакторных процессов и явлений, который основаны на использовании проекционных математических методов. Такого рода информация позволяет определять в больших массивах данных скрытые переменные и анализировать связи, существующие в...
Минск: Вышейшая школа, 1982. — 96 с. В пособии излагаются теория дисперсионного анализа с фиксированными уровнями факторов и практические приложения его в экономико-статистических исследованиях. Этот вариант дисперсионного анализа — однофакторный случай — предусмотрен учебной программой курса теории вероятностей и математической статистики для студентов экономических...
Минск: Бизнесофсет, 2013. — 76 c. — ISBN: 978-985-6939-67-2. Дисперсионный анализ - универсальный метод исследования, способный решать задачи большого множества самых различных областей знаний. В данной книге изложена теория дисперсионного анализа, схемы и примеры необходимых вычислений при его выполнении от одно- до многофакторного. Предназначена для студентов, аспирантов,...
Учебно-методическое пособие. — Екатеринбург: Уральский федеральный университет (УрФУ), 2022. — 104 с. Раскрыты основные понятия и термины статистики, дана методическая разработка практических занятий, предложены задания и контрольные вопросы для самостоятельной работы студента. Теоретический материал дополнен вопросами и заданиями для подготовки к зачету, перечнем учебных и...
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