| 書目名稱 | Permutation Tests | | 副標題 | A Practical Guide to | | 編輯 | Phillip Good | | 視頻video | http://file.papertrans.cn/745/744226/744226.mp4 | | 概述 | Contains valuable techniques for reducing computation time,.practical advice on experimental design, comparisons with bootstrap, parametric, and nonparametric techniques and a three-part bibliography | | 叢書名稱 | Springer Series in Statistics | | 圖書封面 |  | | 描述 | 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). | | 出版日期 | Book 20002nd edition | | 關(guān)鍵詞 | Multiple Regression; Resampling; analysis of variance; calculus; cluster analysis; efficiency; permutation | | 版次 | 2 | | doi | https://doi.org/10.1007/978-1-4757-3235-1 | | isbn_ebook | 978-1-4757-3235-1Series ISSN 0172-7397 Series E-ISSN 2197-568X | | issn_series | 0172-7397 | | copyright | Springer Science+Business Media New York 2000 |
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