Permutation Tests von Phillip Good | A Practical Guide to Resampling Methods for Testing Hypotheses | ISBN 9781475732351

Permutation Tests

A Practical Guide to Resampling Methods for Testing Hypotheses

von Phillip Good
Buchcover Permutation Tests | Phillip Good | EAN 9781475732351 | ISBN 1-4757-3235-X | ISBN 978-1-4757-3235-1

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

Permutation Tests

A Practical Guide to Resampling Methods for Testing Hypotheses

von Phillip Good
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).