Springer Series in Statistics

Permutation Tests

A Practical Guide to Resampling Methods for Testing Hypotheses

Authors: Good, Phillip

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  • Contains valuable techniques for reducing computation time, practical advice on experimental design, comparisons with bootstrap, parametric, and nonparametric techniques and a three-part bibliography featuring more than 1,000 articles

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eBook $74.99
price for USA in USD (gross)
  • ISBN 978-1-4757-3235-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
About this book

This text will equip both practitioners and theorists with the necessary background in testing hypothesis and decision theory to enable innumerable practical applications of statistics. Its intuitive and informal style makes it suitable as a text for both students and researchers. It can serve as the basis a one- or two-semester graduate course as well as a standard handbook of statistical procedures for the practitioners’ desk.

Parametric, permutation, and bootstrap procedures for testing hypotheses are developed side by side. The emphasis on distribution-free permutation procedures will enable workers in applied fields to use the most powerful statistic for their applications and satisfy regulatory agency demands for methods that yield exact significance levels, not approximations. Algebra and an understanding of discrete probability will take the reader through all but the appendix, which utilizes probability measures in its proofs.

The revised and expanded text of the 3rd edition includes many more real-world illustrations from biology, business, clinical trials, economics, geology, law, medicine, social science and engineering along with twice the number of exercises. Real-world problems of missing and censored data, multiple comparisons, nonresponders, after-the-fact covariates, and outliers are dealt with at length. New sections are added on sequential analysis and multivariate analysis plus a chapter on the exact analysis of multi-factor designs based on the recently developed theory of synchronous permutations.

 The book's main features include:

Detailed consideration of one-, two-, and k-sample tests, contingency tables, clinical trials, cluster analysis, multiple comparisons, multivariate analysis, and repeated measures

Numerous practical applications in archeology, biology, business, climatology, clinical trials, economics, education, engineering, geology, law, medicine, and the social sciences

Valuable techniques for reducing computation time

Practical advice on experimental design

Sections on sequential analysis

Comparisons among competing bootstrap, parametric, and permutation techniques.

 From a review of the first edition:

"Permutation Tests is a welcome addition to the literature on this subject and will prove a valuable guide for practitioners . . . This book has already become an important addition to my reference library. Those interested in permutation tests and its applications will enjoy reading it." (Journal of the American Statistical Association)

From a review of the second edition:

"Permutation Tests is superb as a resource for practitioners. The text covers a broad range of topics, and has myriad pointers to topics not directly addressed. . . the book gives guidance and inspiration to encourage developing one’s own perfectly tailored statistics…The writing is fun to read." (John I. Marden)

Reviews

From a review of the first edition:
"Permutation Tests is a welcome addition to the literature on this subject and will prove a valuable guide for practitioners...This book has already become an important addition to my reference library. Those interested in permutation tests and its applications will enjoy reading it."
Journal of the American Statistical Association

Review of the third edition:

"The book has been considerably reorganized and extensively rewritten from the 1E and the second edition...Although it is larger by only 30 pages, it is still a much different book." Technometrics, November 2005


Table of contents (14 chapters)

Table of contents (14 chapters)

Buy this book

eBook $74.99
price for USA in USD (gross)
  • ISBN 978-1-4757-3235-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
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Bibliographic Information

Bibliographic Information
Book Title
Permutation Tests
Book Subtitle
A Practical Guide to Resampling Methods for Testing Hypotheses
Authors
Series Title
Springer Series in Statistics
Copyright
2000
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4757-3235-1
DOI
10.1007/978-1-4757-3235-1
Series ISSN
0172-7397
Edition Number
2
Number of Pages
XVI, 271
Number of Illustrations
8 b/w illustrations
Topics