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Permutation Tests

A Practical Guide to Resampling Methods for Testing Hypotheses

  • Book
  • © 2000

Overview

Authors:
  1. Phillip Good

    1. Huntington Beach, USA

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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

Part of the book series: Springer Series in Statistics (SSS)

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xvi
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  2. A Wide Range of Applications

    • Phillip Good
    Pages 1-12

  3. A Simple Test

    • Phillip Good
    Pages 13-30

  4. Testing Hypotheses

    • Phillip Good
    Pages 31-53

  5. Experimental Designs

    • Phillip Good
    Pages 54-75

  6. Multivariate Analysis

    • Phillip Good
    Pages 76-93

  7. Categorical Data

    • Phillip Good
    Pages 94-117

  8. Dependence

    • Phillip Good
    Pages 118-133

  9. Clustering in Time and Space

    • Phillip Good
    Pages 134-139

  10. Coping with Disaster

    • Phillip Good
    Pages 140-153

  11. Which Statistic? Solving the Insolvable

    • Phillip Good
    Pages 154-169

  12. Which Test Should You Use?

    • Phillip Good
    Pages 170-178

  13. Publishing Your Results

    • Phillip Good
    Pages 179-184

  14. Increasing Computational Efficiency

    • Phillip Good
    Pages 185-200

  15. Theory of Permutation Tests

    • Phillip Good
    Pages 201-214

  16. Back Matter

    Pages 215-271
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Keywords

About this book

In 1982, I published several issues of a samdizat scholarly journal called Random­ ization with the aid of an 8-bit, I-MH personal computer with 48K of memory (upgraded to 64K later that year) and floppy disks that held 400 Kbytes. A decade later, working on the first edition of this text, I used a 16-bit, 33-MH computer with 1 Mb of memory and a 20-Mb hard disk. This preface to the second edition comes to you via a 32-bit, 300-MH computer with 64-Mb memory and a 4-Gb hard disk. And, yes, I paid a tenth of what I paid for my first computer. This relationship between low-cost readily available computing power and the rising popularity of permutation tests is no coincidence. Simply put, it is" faster today to compute an exact p-value than to look up an approximation in a table of the not-quite-appropriate statistic. As a result, more and more researchers are using Permutation Tests to analyze their data. Of course, some of the increased usage has also come about through the increased availability of and improvements in off-the-shelf software, as can be seen in the revisions in this edition to Chapter 12 (Publishing Your Results) and Chapter 13 (Increasing Computation Efficiency).

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

Authors and Affiliations

  • Huntington Beach, USA

    Phillip Good

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