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Permutation Tests
Phillip Good
其他書名
A Practical Guide to Resampling Methods for Testing Hypotheses
出版Springer Science & Business Media, 2013-04-17
主題Mathematics / Probability & Statistics / GeneralMedical / BiostatisticsBusiness & Economics / StatisticsMathematics / Probability & Statistics / Stochastic ProcessesBusiness & Economics / General
ISBN147573235X9781475732351
URLhttp://books.google.com.hk/books?id=pK3hBwAAQBAJ&hl=&source=gbs_api
EBookSAMPLE
註釋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).