Nonparametric Statistical Tests

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Nonparametric Statistics for Non-Statisticians

Gregory W. Corder,Dale I. Foreman
Nonparametric Statistics for Non Statisticians Book PDF

Author : Gregory W. Corder,Dale I. Foreman
Publisher : John Wiley & Sons
Page : 199 pages
File Size : 40,7 Mb
Release : 2011-09-20
Category : Mathematics
ISBN : 9781118211250

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Nonparametric Statistics for Non-Statisticians by Gregory W. Corder,Dale I. Foreman Pdf

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 properly equipped with the knowledge to correctly apply these methods. Nonparametric Statistics for Non-Statisticians: A Step-by-Step Approach fills a void in the current literature by addressing nonparametric statistics in a manner that is easily accessible for readers with a background in the social, behavioral, biological, and physical sciences. Each chapter follows the same comprehensive format, beginning with a general introduction to the particular topic and a list of main learning objectives. A nonparametric procedure is then presented and accompanied by context-based examples that are outlined in a step-by-step fashion. Next, SPSS® screen captures are used to demonstrate how to perform and recognize the steps in the various procedures. Finally, the authors identify and briefly describe actual examples of corresponding nonparametric tests from diverse fields. Using this organized structure, the book outlines essential skills for the application of nonparametric statistical methods, including how to: Test data for normality and randomness Use the Wilcoxon signed rank test to compare two related samples Apply the Mann-Whitney U test to compare two unrelated samples Compare more than two related samples using the Friedman test Employ the Kruskal-Wallis H test to compare more than two unrelated samples Compare variables of ordinal or dichotomous scales Test for nominal scale data A detailed appendix provides guidance on inputting and analyzing the presented data using SPSS®, and supplemental tables of critical values are provided. In addition, the book's FTP site houses supplemental data sets and solutions for further practice. Extensively classroom tested, Nonparametric Statistics for Non-Statisticians is an ideal book for courses on nonparametric statistics at the upper-undergraduate and graduate levels. It is also an excellent reference for professionals and researchers in the social, behavioral, and health sciences who seek a review of nonparametric methods and relevant applications.

An Introduction to Nonparametric Statistics

John E. Kolassa
An Introduction to Nonparametric Statistics Book PDF

Author : John E. Kolassa
Publisher : CRC Press
Page : 225 pages
File Size : 54,8 Mb
Release : 2020-09-28
Category : Mathematics
ISBN : 9780429511363

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An Introduction to Nonparametric Statistics by John E. Kolassa Pdf

An Introduction to Nonparametric Statistics presents techniques for statistical analysis in the absence of strong assumptions about the distributions generating the data. Rank-based and resampling techniques are heavily represented, but robust techniques are considered as well. These techniques include one-sample testing and estimation, multi-sample testing and estimation, and regression. Attention is paid to the intellectual development of the field, with a thorough review of bibliographical references. Computational tools, in R and SAS, are developed and illustrated via examples. Exercises designed to reinforce examples are included. Features Rank-based techniques including sign, Kruskal-Wallis, Friedman, Mann-Whitney and Wilcoxon tests are presented Tests are inverted to produce estimates and confidence intervals Multivariate tests are explored Techniques reflecting the dependence of a response variable on explanatory variables are presented Density estimation is explored The bootstrap and jackknife are discussed This text is intended for a graduate student in applied statistics. The course is best taken after an introductory course in statistical methodology, elementary probability, and regression. Mathematical prerequisites include calculus through multivariate differentiation and integration, and, ideally, a course in matrix algebra.

Nonparametric Statistical Tests

Markus Neuhauser
Nonparametric Statistical Tests Book PDF

Author : Markus Neuhauser
Publisher : CRC Press
Page : 247 pages
File Size : 44,8 Mb
Release : 2011-12-19
Category : Mathematics
ISBN : 9781439867044

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Nonparametric Statistical Tests by Markus Neuhauser Pdf

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 statistical methods, such as permutation and bootstrap tests. Th

Theory of Nonparametric Tests

Thorsten Dickhaus
Theory of Nonparametric Tests Book PDF

Author : Thorsten Dickhaus
Publisher : Springer
Page : 124 pages
File Size : 46,7 Mb
Release : 2018-03-27
Category : Mathematics
ISBN : 9783319763156

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Theory of Nonparametric Tests by Thorsten Dickhaus Pdf

This textbook provides a self-contained presentation of the main concepts and methods of nonparametric statistical testing, with a particular focus on the theoretical foundations of goodness-of-fit tests, rank tests, resampling tests, and projection tests. The substitution principle is employed as a unified approach to the nonparametric test problems discussed. In addition to mathematical theory, it also includes numerous examples and computer implementations. The book is intended for advanced undergraduate, graduate, and postdoc students as well as young researchers. Readers should be familiar with the basic concepts of mathematical statistics typically covered in introductory statistics courses.

Nonparametric Statistics

Gregory W. Corder,Dale I. Foreman
Nonparametric Statistics Book PDF

Author : Gregory W. Corder,Dale I. Foreman
Publisher : John Wiley & Sons
Page : 288 pages
File Size : 51,6 Mb
Release : 2014-04-14
Category : Mathematics
ISBN : 9781118840429

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Nonparametric Statistics by Gregory W. Corder,Dale I. Foreman Pdf

“...a very useful resource for courses in nonparametric statistics in which the emphasis is on applications rather than on theory. It also deserves a place in libraries of all institutions where introductory statistics courses are taught." –CHOICE This Second Edition presents a practical and understandable approach that enhances and expands the statistical toolset for readers. This book includes: New coverage of the sign test and the Kolmogorov-Smirnov two-sample test in an effort to offer a logical and natural progression to statistical power SPSS® (Version 21) software and updated screen captures to demonstrate how to perform and recognize the steps in the various procedures Data sets and odd-numbered solutions provided in an appendix, and tables of critical values Supplementary material to aid in reader comprehension, which includes: narrated videos and screen animations with step-by-step instructions on how to follow the tests using SPSS; online decision trees to help users determine the needed type of statistical test; and additional solutions not found within the book.

Nonparametric Statistics for the Behavioral Sciences

Sidney Siegel
Nonparametric Statistics for the Behavioral Sciences Book PDF

Author : Sidney Siegel
Publisher : McGraw-Hill Companies
Page : 344 pages
File Size : 40,5 Mb
Release : 1956
Category : Mathematics
ISBN : UOM:39015017299267

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Nonparametric Statistics for the Behavioral Sciences by Sidney Siegel Pdf

The use of statistical tests in research; Choosing an appropriate statistical test; The one-sample case; The case of two related samples; The case of two independent samples; The case of k related samples; The case of k independent samples; Measures of correlatin and their tests of significance.

Statistics from A to Z

Andrew A. Jawlik
Statistics from A to Z Book PDF

Author : Andrew A. Jawlik
Publisher : John Wiley & Sons
Page : 448 pages
File Size : 43,5 Mb
Release : 2016-09-16
Category : Mathematics
ISBN : 9781119271987

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Statistics from A to Z by Andrew A. Jawlik Pdf

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 Understand: Uses unique “graphics that teach” such as concept flow diagrams, compare-and-contrast tables, and even cartoons to enhance “rememberability.” • Easy to Use: Alphabetically arranged, like a mini-encyclopedia, for easy lookup on the job, while studying, or during an open-book exam. • Wider Scope: Covers Statistics I and Statistics II and Six Sigma Black Belt, adding such topics as control charts and statistical process control, process capability analysis, and design of experiments. As a result, this book will be useful for business professionals and industrial engineers in addition to students and professionals in the social and physical sciences. In addition, each of the 60+ concepts is covered in one or more articles. The 75 articles in the book are usually 5–7 pages long, ensuring that things are presented in “bite-sized chunks.” The first page of each article typically lists five “Keys to Understanding” which tell the reader everything they need to know on one page. This book also contains an article on “Which Statistical Tool to Use to Solve Some Common Problems”, additional “Which to Use When” articles on Control Charts, Distributions, and Charts/Graphs/Plots, as well as articles explaining how different concepts work together (e.g., how Alpha, p, Critical Value, and Test Statistic interrelate). ANDREW A. JAWLIK received his B.S. in Mathematics and his M.S. in Mathematics and Computer Science from the University of Michigan. He held jobs with IBM in marketing, sales, finance, and information technology, as well as a position as Process Executive. In these jobs, he learned how to communicate difficult technical concepts in easy - to - understand terms. He completed Lean Six Sigma Black Belt coursework at the IASSC - accredited Pyzdek Institute. In order to understand the confusing statistics involved, he wrote explanations in his own words and graphics. Using this material, he passed the certification exam with a perfect score. Those statistical explanations then became the starting point for this book.

Nonparametric Statistical Methods

Myles Hollander,Douglas A. Wolfe,Eric Chicken
Nonparametric Statistical Methods Book PDF

Author : Myles Hollander,Douglas A. Wolfe,Eric Chicken
Publisher : John Wiley & Sons
Page : 978 pages
File Size : 48,7 Mb
Release : 2013-11-25
Category : Mathematics
ISBN : 9781118553299

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Nonparametric Statistical Methods by Myles Hollander,Douglas A. Wolfe,Eric Chicken Pdf

Praise for the Second Edition “This book should be an essential part of the personal library of every practicing statistician.”—Technometrics Thoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes additional modern topics and procedures, more practical data sets, and new problems from real-life situations. The book continues to emphasize the importance of nonparametric methods as a significant branch of modern statistics and equips readers with the conceptual and technical skills necessary to select and apply the appropriate procedures for any given situation. Written by leading statisticians, Nonparametric Statistical Methods, Third Edition provides readers with crucial nonparametric techniques in a variety of settings, emphasizing the assumptions underlying the methods. The book provides an extensive array of examples that clearly illustrate how to use nonparametric approaches for handling one- or two-sample location and dispersion problems, dichotomous data, and one-way and two-way layout problems. In addition, the Third Edition features: The use of the freely available R software to aid in computation and simulation, including many new R programs written explicitly for this new edition New chapters that address density estimation, wavelets, smoothing, ranked set sampling, and Bayesian nonparametrics Problems that illustrate examples from agricultural science, astronomy, biology, criminology, education, engineering, environmental science, geology, home economics, medicine, oceanography, physics, psychology, sociology, and space science Nonparametric Statistical Methods, Third Edition is an excellent reference for applied statisticians and practitioners who seek a review of nonparametric methods and their relevant applications. The book is also an ideal textbook for upper-undergraduate and first-year graduate courses in applied nonparametric statistics.

Nonparametric Statistics for Health Care Research

Marjorie A. Pett
Nonparametric Statistics for Health Care Research Book PDF

Author : Marjorie A. Pett
Publisher : SAGE Publications
Page : 473 pages
File Size : 46,5 Mb
Release : 2015-06-29
Category : Social Science
ISBN : 9781483313092

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Nonparametric Statistics for Health Care Research by Marjorie A. Pett Pdf

What do you do when you realize that the data set from the study that you have just completed violates the sample size or other requirements needed to apply parametric statistics? Nonparametric Statistics for Health Care Research by Marjorie A. Pett was developed for such scenarios—research undertaken with limited funds, often using a small sample size, with the primary objective of improving client care and obtaining better client outcomes. Covering the most commonly used nonparametric statistical techniques available in statistical packages and on open-resource statistical websites, this well-organized and accessible Second Edition helps readers, including those beyond the health sciences field, to understand when to use a particular nonparametric statistic, how to generate and interpret the resulting computer printouts, and how to present the results in table and text format.

Distribution-free Statistical Tests

James Vandiver Bradley
Distribution free Statistical Tests Book PDF

Author : James Vandiver Bradley
Publisher : Prentice Hall
Page : 410 pages
File Size : 52,8 Mb
Release : 1968
Category : Mathematics
ISBN : UOM:39015004397157

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Distribution-free Statistical Tests by James Vandiver Bradley Pdf

For students, statisticians, and other research workers.

Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition

David J. Sheskin
Handbook of Parametric and Nonparametric Statistical Procedures Fifth Edition Book PDF

Author : David J. Sheskin
Publisher : CRC Press
Page : 1927 pages
File Size : 48,5 Mb
Release : 2020-06-09
Category : Education
ISBN : 9781439858042

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Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition by David J. Sheskin Pdf

Following in the footsteps of its bestselling predecessors, the Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition provides researchers, teachers, and students with an all-inclusive reference on univariate, bivariate, and multivariate statistical procedures.New in the Fifth Edition:Substantial updates and new material th

Introduction to Nonparametric Statistics for the Biological Sciences Using R

Thomas W. MacFarland,Jan M. Yates
Introduction to Nonparametric Statistics for the Biological Sciences Using R Book PDF

Author : Thomas W. MacFarland,Jan M. Yates
Publisher : Springer
Page : 329 pages
File Size : 49,6 Mb
Release : 2016-07-06
Category : Medical
ISBN : 9783319306346

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Introduction to Nonparametric Statistics for the Biological Sciences Using R by Thomas W. MacFarland,Jan M. Yates Pdf

This book contains a rich set of tools for nonparametric analyses, and the purpose of this text is to provide guidance to students and professional researchers on how R is used for nonparametric data analysis in the biological sciences: To introduce when nonparametric approaches to data analysis are appropriate To introduce the leading nonparametric tests commonly used in biostatistics and how R is used to generate appropriate statistics for each test To introduce common figures typically associated with nonparametric data analysis and how R is used to generate appropriate figures in support of each data set The book focuses on how R is used to distinguish between data that could be classified as nonparametric as opposed to data that could be classified as parametric, with both approaches to data classification covered extensively. Following an introductory lesson on nonparametric statistics for the biological sciences, the book is organized into eight self-contained lessons on various analyses and tests using R to broadly compare differences between data sets and statistical approach.

Nonparametric Statistical Inference

Jean Dickinson Gibbons,Subhabrata Chakraborti
Nonparametric Statistical Inference Book PDF

Author : Jean Dickinson Gibbons,Subhabrata Chakraborti
Publisher : CRC Press
Page : 695 pages
File Size : 49,9 Mb
Release : 2020-12-21
Category : Mathematics
ISBN : 9781351616171

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Nonparametric Statistical Inference by Jean Dickinson Gibbons,Subhabrata Chakraborti Pdf

Praise for previous editions: "... a classic with a long history." – Statistical Papers "The fact that the first edition of this book was published in 1971 ... [is] testimony to the book’s success over a long period." – ISI Short Book Reviews "... one of the best books available for a theory course on nonparametric statistics. ... very well written and organized ... recommended for teachers and graduate students." – Biometrics "... There is no competitor for this book and its comprehensive development and application of nonparametric methods. Users of one of the earlier editions should certainly consider upgrading to this new edition." – Technometrics "... Useful to students and research workers ... a good textbook for a beginning graduate-level course in nonparametric statistics." – Journal of the American Statistical Association Since its first publication in 1971, Nonparametric Statistical Inference has been widely regarded as the source for learning about nonparametrics. The Sixth Edition carries on this tradition and incorporates computer solutions based on R. Features Covers the most commonly used nonparametric procedures States the assumptions, develops the theory behind the procedures, and illustrates the techniques using realistic examples from the social, behavioral, and life sciences Presents tests of hypotheses, confidence-interval estimation, sample size determination, power, and comparisons of competing procedures Includes an Appendix of user-friendly tables needed for solutions to all data-oriented examples Gives examples of computer applications based on R, MINITAB, STATXACT, and SAS Lists over 100 new references Nonparametric Statistical Inference, Sixth Edition, has been thoroughly revised and rewritten to make it more readable and reader-friendly. All of the R solutions are new and make this book much more useful for applications in modern times. It has been updated throughout and contains 100 new citations, including some of the most recent, to make it more current and useful for researchers.

Nonparametric Statistics

Gregory W. Corder,Dale I. Foreman
Nonparametric Statistics Book PDF

Author : Gregory W. Corder,Dale I. Foreman
Publisher : John Wiley & Sons
Page : 288 pages
File Size : 41,5 Mb
Release : 2014-05-12
Category : Mathematics
ISBN : 9781118840313

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Nonparametric Statistics by Gregory W. Corder,Dale I. Foreman Pdf

“…a very useful resource for courses in nonparametric statistics in which the emphasis is on applications rather than on theory. It also deserves a place in libraries of all institutions where introductory statistics courses are taught." –CHOICE This Second Edition presents a practical and understandable approach that enhances and expands the statistical toolset for readers. This book includes: New coverage of the sign test and the Kolmogorov-Smirnov two-sample test in an effort to offer a logical and natural progression to statistical power SPSS® (Version 21) software and updated screen captures to demonstrate how to perform and recognize the steps in the various procedures Data sets and odd-numbered solutions provided in an appendix, and tables of critical values Supplementary material to aid in reader comprehension, which includes: narrated videos and screen animations with step-by-step instructions on how to follow the tests using SPSS; online decision trees to help users determine the needed type of statistical test; and additional solutions not found within the book.

A Parametric Approach to Nonparametric Statistics

Mayer Alvo,Philip L. H. Yu
A Parametric Approach to Nonparametric Statistics Book PDF

Author : Mayer Alvo,Philip L. H. Yu
Publisher : Springer
Page : 279 pages
File Size : 48,6 Mb
Release : 2018-10-12
Category : Mathematics
ISBN : 9783319941530

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A Parametric Approach to Nonparametric Statistics by Mayer Alvo,Philip L. H. Yu Pdf

This book demonstrates that nonparametric statistics can be taught from a parametric point of view. As a result, one can exploit various parametric tools such as the use of the likelihood function, penalized likelihood and score functions to not only derive well-known tests but to also go beyond and make use of Bayesian methods to analyze ranking data. The book bridges the gap between parametric and nonparametric statistics and presents the best practices of the former while enjoying the robustness properties of the latter. This book can be used in a graduate course in nonparametrics, with parts being accessible to senior undergraduates. In addition, the book will be of wide interest to statisticians and researchers in applied fields.