Nonparametric Statistical Inference Fifth Edition

Author : Jean Dickinson Gibbons,Subhabrata Chakraborti
Publisher : CRC Press
Page : 695 pages
File Size : 55,7 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.

Author : Jean Dickinson Gibbons,Subhabrata Chakraborti
Publisher : CRC Press
Page : 652 pages
File Size : 43,7 Mb
Release : 2010-07-26
Category : Mathematics
ISBN : 9781439896129

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Nonparametric Statistical Inference by Jean Dickinson Gibbons,Subhabrata Chakraborti Pdf

Proven Material for a Course on the Introduction to the Theory and/or on the Applications of Classical Nonparametric Methods Since its first publication in 1971, Nonparametric Statistical Inference has been widely regarded as the source for learning about nonparametric statistics. The fifth edition carries on this tradition while thoroughly revising at least 50 percent of the material. New to the Fifth Edition Updated and revised contents based on recent journal articles in the literature A new section in the chapter on goodness-of-fit tests A new chapter that offers practical guidance on how to choose among the various nonparametric procedures covered Additional problems and examples Improved computer figures This classic, best-selling statistics book continues to cover the most commonly used nonparametric procedures. The authors carefully state the assumptions, develop the theory behind the procedures, and illustrate the techniques using realistic research examples from the social, behavioral, and life sciences. For most procedures, they present the tests of hypotheses, confidence interval estimation, sample size determination, power, and comparisons of other relevant procedures. The text also gives examples of computer applications based on Minitab, SAS, and StatXact and compares these examples with corresponding hand calculations. The appendix includes a collection of tables required for solving the data-oriented problems. Nonparametric Statistical Inference, Fifth Edition provides in-depth yet accessible coverage of the theory and methods of nonparametric statistical inference procedures. It takes a practical approach that draws on scores of examples and problems and minimizes the theorem-proof format. Jean Dickinson Gibbons was recently interviewed regarding her generous pledge to Virginia Tech.

Author : Jean Dickinson Gibbons,Subhabrata Chakraborti
Publisher : Chapman and Hall/CRC
Page : 650 pages
File Size : 43,8 Mb
Release : 2010-07-26
Category : Mathematics
ISBN : 1420077619

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Nonparametric Statistical Inference, Fifth Edition by Jean Dickinson Gibbons,Subhabrata Chakraborti Pdf

Proven Material for a Course on the Introduction to the Theory and/or on the Applications of Classical Nonparametric Methods Since its first publication in 1971, Nonparametric Statistical Inference has been widely regarded as the source for learning about nonparametric statistics. The fifth edition carries on this tradition while thoroughly revising at least 50 percent of the material. New to the Fifth Edition Updated and revised contents based on recent journal articles in the literature A new section in the chapter on goodness-of-fit tests A new chapter that offers practical guidance on how to choose among the various nonparametric procedures covered Additional problems and examples Improved computer figures This classic, best-selling statistics book continues to cover the most commonly used nonparametric procedures. The authors carefully state the assumptions, develop the theory behind the procedures, and illustrate the techniques using realistic research examples from the social, behavioral, and life sciences. For most procedures, they present the tests of hypotheses, confidence interval estimation, sample size determination, power, and comparisons of other relevant procedures. The text also gives examples of computer applications based on Minitab, SAS, and StatXact and compares these examples with corresponding hand calculations. The appendix includes a collection of tables required for solving the data-oriented problems. Nonparametric Statistical Inference, Fifth Edition provides in-depth yet accessible coverage of the theory and methods of nonparametric statistical inference procedures. It takes a practical approach that draws on scores of examples and problems and minimizes the theorem-proof format. Jean Dickinson Gibbons was recently interviewed regarding her generous pledge to Virginia Tech.

Author : Jean Dickinson Gibbons,Subhabrata Chakraborti
Publisher : CRC Press
Page : 350 pages
File Size : 52,7 Mb
Release : 2014-03-10
Category : Mathematics
ISBN : 9781135532017

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Nonparametric Statistical Inference by Jean Dickinson Gibbons,Subhabrata Chakraborti Pdf

Thoroughly revised and reorganized, the fourth edition presents in-depth coverage of the theory and methods of the most widely used nonparametric procedures in statistical analysis and offers example applications appropriate for all areas of the social, behavioral, and life sciences. The book presents new material on the quantiles, the calculation of exact and simulated power, multiple comparisons, additional goodness-of-fit tests, methods of analysis of count data, and modern computer applications using MINITAB, SAS, and STATXACT. It includes tabular guides for simplified applications of tests and finding P values and confidence interval estimates.

Author : David J. Sheskin
Publisher : CRC Press
Page : 1927 pages
File Size : 49,7 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

Author : Jean Dickinson Gibbons,Subhabrata Chakraborti
Publisher : CRC Press
Page : 680 pages
File Size : 40,8 Mb
Release : 2003-05-09
Category : Mathematics
ISBN : 0824740521

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Nonparametric Statistical Inference, Fourth Edition by Jean Dickinson Gibbons,Subhabrata Chakraborti Pdf

Thoroughly revised and reorganized, the fourth edition presents in-depth coverage of the theory and methods of the most widely used nonparametric procedures in statistical analysis and offers example applications appropriate for all areas of the social, behavioral, and life sciences. The book presents new material on the quantiles, the calculation of exact and simulated power, multiple comparisons, additional goodness-of-fit tests, methods of analysis of count data, and modern computer applications using MINITAB, SAS, and STATXACT. It includes tabular guides for simplified applications of tests and finding P values and confidence interval estimates.

Author : Z. Govindarajulu
Publisher : World Scientific
Page : 692 pages
File Size : 50,5 Mb
Release : 2007
Category : Mathematics
ISBN : 9789812700346

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Nonparametric Inference by Z. Govindarajulu Pdf

This book provides a solid foundation on nonparametric inference for students taking a graduate course in nonparametric statistics and serves as an easily accessible source for researchers in the area.With the exception of some sections requiring familiarity with measure theory, readers with an advanced calculus background will be comfortable with the material.

Author : Anonim
Publisher : Unknown
Page : 338 pages
File Size : 55,6 Mb
Release : 1956
Category : Electronic
ISBN : 8210379456XXX

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Nonparametric Statistics by Anonim Pdf

Author : Larry Wasserman
Publisher : Springer Science & Business Media
Page : 272 pages
File Size : 40,9 Mb
Release : 2006-09-10
Category : Mathematics
ISBN : 9780387306230

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All of Nonparametric Statistics by Larry Wasserman Pdf

This text provides the reader with a single book where they can find accounts of a number of up-to-date issues in nonparametric inference. The book is aimed at Masters or PhD level students in statistics, computer science, and engineering. It is also suitable for researchers who want to get up to speed quickly on modern nonparametric methods. It covers a wide range of topics including the bootstrap, the nonparametric delta method, nonparametric regression, density estimation, orthogonal function methods, minimax estimation, nonparametric confidence sets, and wavelets. The book’s dual approach includes a mixture of methodology and theory.

Author : David J. Sheskin
Publisher : Chapman and Hall/CRC
Page : 1016 pages
File Size : 44,5 Mb
Release : 2000-02-24
Category : Mathematics
ISBN : 158488133X

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

Called the "bible of applied statistics," the first edition of the bestselling Handbook of Parametric and Nonparametric Statistical Procedures was unsurpassed in its scope. The Second Edition goes even further - more tests, more examples, more than 250 pages of new material. Thorough - Up-To-Date With details of more than 100 statistical procedures, the Handbook offers unparalleled coverage of modern statistical methods. You get in-depth discussion of both practical and theoretical issues, many of which are not addressed in conventional statistics books. Practical - User-Friendly Accessible to novices but valuable to seasoned researchers, the Handbook emphasizes application over theory and presents the procedures in a standardized format that makes it easy to access the information you need. If you have to Ø Decide what method of analysis to use Ø Use a particular test for the first time Ø Distinguish acceptable from unacceptable research Ø Interpret the results of published studies the Handbook of Parametric and Nonparametric Statistical Procedures has the background, the answers, and the guidelines to get the job done.

Author : David J. Sheskin
Publisher : Chapman and Hall/CRC
Page : 0 pages
File Size : 53,9 Mb
Release : 2011-04-27
Category : Mathematics
ISBN : 1439858012

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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 throughout New chapters on path analysis, meta-analysis, and structural equation modeling Index numbers and time series analysis applications in business and economics Statistical quality control applications in industry Random- and fixed-effects models for the analysis of variance Broad in scope, the Handbook is intended for individuals involved in a wide spectrum of academic disciplines encompassing the fields of mathematics, the social, biological, and environmental sciences, business, and education. A reference for statistically sophisticated individuals, the Handbook is also accessible to those lacking the theoretical or mathematical background required for understanding subject matter typically documented in statistics reference books.

Author : Malcolm O. Asadoorian,Demetrius Kantarelis
Publisher : University Press of America
Page : 304 pages
File Size : 55,6 Mb
Release : 2005
Category : Business & Economics
ISBN : 0761830308

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Essentials of Inferential Statistics by Malcolm O. Asadoorian,Demetrius Kantarelis Pdf

Essentials of Inferential Statistics, fourth edition is appropriate for a one semester first course in Applied Statistics or as a reference book for practicing researchers in a wide variety of disciplines, including medicine, natural and social sciences, law, and engineering. Most importantly, this practical book thoroughly describes the Bayesian principles necessary for applied clinical research and strategic interaction, which are frequently omitted in other texts. After a comprehensive treatment of probability theory concepts, theorems, and some basic proofs, this laconically written text illustrates sampling distributions and their importance in estimation for the purpose of statistical inference. The book then shifts its focus to the essentials associated with confidence intervals, and hypothesis testing for major population parameters, namely, the population mean, population variance, and population proportion. In addition, it thoroughly describes the basics of correlation and simple linear regression as well as non-parametric statistics.

Author : David J. Sheskin
Publisher : CRC Press
Page : 1388 pages
File Size : 48,6 Mb
Release : 2020-06-09
Category : Mathematics
ISBN : 9781000083279

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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

Author : David Sheskin
Publisher : Chapman and Hall/CRC
Page : 1784 pages
File Size : 49,6 Mb
Release : 2007-01-19
Category : Mathematics
ISBN : UCSC:32106018839206

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Handbook of Parametric and Nonparametric Statistical Procedures by David Sheskin Pdf

With more than 500 pages of new material, the Handbook of Parametric and Nonparametric Statistical Procedures, Fourth Edition carries on the esteemed tradition of the previous editions, providing up-to-date, in-depth coverage of now more than 160 statistical procedures. The book also discusses both theoretical and practical statistical topics, such as experimental design, experimental control, and statistical analysis. Eliminating the need to search across numerous books, this handbook provides you with everything you need to know about parametric and nonparametric statistical procedures. It helps you choose the best test for your data, interpret the results, and better evaluate the research of others.

Author : Myles Hollander,Douglas A. Wolfe,Eric Chicken
Publisher : John Wiley & Sons
Page : 978 pages
File Size : 52,7 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.