Nonparametric Techniques In Statistical Inference

Author : Jean Dickinson Gibbons,Subhabrata Chakraborti
Publisher : CRC Press
Page : 695 pages
File Size : 53,5 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 : 49,7 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 : Madan Lal Puri
Publisher : Cambridge University Press
Page : 0 pages
File Size : 45,6 Mb
Release : 2009-01-08
Category : Mathematics
ISBN : 0521093058

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Nonparametric Techniques in Statistical Inference by Madan Lal Puri Pdf

Nonparametric techniques in statistics are those in which the data are ranked in order according to some particular characteristic. When applied to measurable characteristics, the use of such techniques often saves considerable calculation as compared with more formal methods, with only slight loss of accuracy. The field of nonparametric statistics is occupying an increasingly important role in statistical theory as well as in its applications. Nonparametric methods are mathematically elegant, and they also yield significantly improved performances in applications to agriculture, education, biometrics, medicine, communication, economics and industry.

Author : Jean Dickinson Gibbons,Subhabrata Chakraborti
Publisher : CRC Press
Page : 350 pages
File Size : 52,5 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 : International Symposium on Nonparametric Techniques in Statistical Inference $(1969 : Indiana University, Bloomington)
Publisher : Unknown
Page : 0 pages
File Size : 49,9 Mb
Release : 1970
Category : Electronic
ISBN : 5210781720

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Nonparametric Techniques in Statistical Inference by International Symposium on Nonparametric Techniques in Statistical Inference $(1969 : Indiana University, Bloomington) Pdf

Author : Z. Govindarajulu
Publisher : World Scientific
Page : 692 pages
File Size : 46,9 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 : Larry Wasserman
Publisher : Springer Science & Business Media
Page : 272 pages
File Size : 49,6 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 : Thomas P. Hettmansperger,Joseph W. McKean
Publisher : John Wiley & Sons
Page : 492 pages
File Size : 51,6 Mb
Release : 1998
Category : Nonparametric statistics
ISBN : STANFORD:36105023161156

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Robust Nonparametric Statistical Methods by Thomas P. Hettmansperger,Joseph W. McKean Pdf

Offering an alternative to traditional statistical procedures which are based on least squares fitting, the authors cover such topics as one and two sample location models, linear models, and multivariate models. Both theory and applications are examined.

Author : Miodrag Lovric
Publisher : Springer Science & Business Media
Page : 0 pages
File Size : 52,5 Mb
Release : 2010-12-01
Category : Mathematics
ISBN : 9783642048975

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International Encyclopedia of Statistical Science by Miodrag Lovric Pdf

The goal of this book is multidimensional: a) to help reviving Statistics education in many parts in the world where it is in crisis. For the first time authors from many developing countries have an opportunity to write together with the most prominent world authorities. The editor has spent several years searching for the most reputable statisticians all over the world. International contributors are either presidents of the local statistical societies, or head of the Statistics department at the main university, or the most distinguished statisticians in their countries. b) to enable any non-statistician to obtain quick and yet comprehensive and highly understandable view on certain statistical term, method or application c) to enable all the researchers, managers and practicioners to refresh their knowledge in Statistics, especially in certain controversial fields. d) to revive interest in statistics among students, since they will see its usefulness and relevance in almost all branches of Science.

Author : Donald Alexander Stuart Fraser
Publisher : Unknown
Page : 320 pages
File Size : 41,6 Mb
Release : 1963
Category : Mathematical statistics
ISBN : COLUMBIA:CU60438800

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Nonparametric Methods in Statistics by Donald Alexander Stuart Fraser Pdf

Author : Jean Dickinson Gibbons,Subhabrata Chakraborti
Publisher : Chapman and Hall/CRC
Page : 650 pages
File Size : 40,9 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 : W. J. Conover
Publisher : John Wiley & Sons
Page : 608 pages
File Size : 47,6 Mb
Release : 1999-01-07
Category : Mathematics
ISBN : 9780471160687

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Practical Nonparametric Statistics by W. J. Conover Pdf

This highly-regarded text serves as a quick reference book which offers clear, concise instructions on how and when to use the most popular nonparametric procedures. This edition features some procedures that have withstood the test of time and are now used by many practitioners, such as the Fisher Exact Test for two-by-two contingency tables, the Mantel-Haenszel Test for combining several contingency tables, the Kaplan-Meier estimates of the survival curve, the Jonckheere-Terpstra Test and the Page Test for ordered alternatives, and a discussion of the bootstrap method.

Author : M.M. Desu,D. Raghavarao
Publisher : CRC Press
Page : 392 pages
File Size : 46,6 Mb
Release : 2003-09-29
Category : Mathematics
ISBN : 1584883197

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Nonparametric Statistical Methods For Complete and Censored Data by M.M. Desu,D. Raghavarao Pdf

Balancing the "cookbook" approach of some texts with the more mathematical approach of others, Nonparametric Statistical Methods for Complete and Censored Data introduces commonly used non-parametric methods for complete data and extends those methods to right censored data analysis. Whenever possible, the authors derive their methodology from the general theory of statistical inference and introduce the concepts intuitively for students with minimal backgrounds. Derivations and mathematical details are relegated to appendices at the end of each chapter, which allows students to easily proceed through each chapter without becoming bogged down in a lot of mathematics. In addition to the nonparametric methods for analyzing complete and censored data, the book covers optimal linear rank statistics, clinical equivalence, analysis of block designs, and precedence tests. To make the material more accessible and practical, the authors use SAS programs to illustrate the various methods included. Exercises in each chapter, SAS code, and a clear, accessible presentation make this an outstanding text for a one-semester senior or graduate-level course in nonparametric statistics for students in a variety of disciplines, from statistics and biostatistics to business, psychology, and the social scientists. Prerequisites: Students will need a solid background in calculus and a two-semester course in mathematical statistics.

Author : Peter Sprent,Nigel C. Smeeton
Publisher : CRC Press
Page : 541 pages
File Size : 50,9 Mb
Release : 2007-03-06
Category : Mathematics
ISBN : 9781584887010

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Applied Nonparametric Statistical Methods, Fourth Edition by Peter Sprent,Nigel C. Smeeton Pdf

While preserving the clear, accessible style of previous editions, Applied Nonparametric Statistical Methods, Fourth Edition reflects the latest developments in computer-intensive methods that deal with intractable analytical problems and unwieldy data sets. Reorganized and with additional material, this edition begins with a brief summary of some relevant general statistical concepts and an introduction to basic ideas of nonparametric or distribution-free methods. Designed experiments, including those with factorial treatment structures, are now the focus of an entire chapter. The text also expands coverage on the analysis of survival data and the bootstrap method. The new final chapter focuses on important modern developments, such as large sample methods and computer-intensive applications. Keeping mathematics to a minimum, this text introduces nonparametric methods to undergraduate students who are taking either mainstream statistics courses or statistics courses within other disciplines. By giving the proper attention to data collection and the interpretation of analyses, it provides a full introduction to nonparametric methods.

Author : Chiara Brombin,Luigi Salmaso,Lara Fontanella,Luigi Ippoliti,Caterina Fusilli
Publisher : Springer
Page : 115 pages
File Size : 46,9 Mb
Release : 2016-02-19
Category : Mathematics
ISBN : 3319263102

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Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications by Chiara Brombin,Luigi Salmaso,Lara Fontanella,Luigi Ippoliti,Caterina Fusilli Pdf

This book considers specific inferential issues arising from the analysis of dynamic shapes with the attempt to solve the problems at hand using probability models and nonparametric tests. The models are simple to understand and interpret and provide a useful tool to describe the global dynamics of the landmark configurations. However, because of the non-Euclidean nature of shape spaces, distributions in shape spaces are not straightforward to obtain. The book explores the use of the Gaussian distribution in the configuration space, with similarity transformations integrated out. Specifically, it works with the offset-normal shape distribution as a probability model for statistical inference on a sample of a temporal sequence of landmark configurations. This enables inference for Gaussian processes from configurations onto the shape space. The book is divided in two parts, with the first three chapters covering material on the offset-normal shape distribution, and the remaining chapters covering the theory of NonParametric Combination (NPC) tests. The chapters offer a collection of applications which are bound together by the theme of this book. They refer to the analysis of data from the FG-NET (Face and Gesture Recognition Research Network) database with facial expressions. For these data, it may be desirable to provide a description of the dynamics of the expressions, or testing whether there is a difference between the dynamics of two facial expressions or testing which of the landmarks are more informative in explaining the pattern of an expression.