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Cookie akzeptierenKenneth J. Berry / Jr. Mielke / Janis E. Johnston
A Primer of Permutation Statistical Methods
- Springer International Publishing
- 2020
- Taschenbuch
- 500 Seiten
- ISBN 9783030209353
The primary purpose of this textbook is to introduce the reader to a wide variety of elementary permutation statistical methods. Permutation methods are optimal for small data sets and non-random samples, and are free of distributional assumptions. The book follows the conventional structure of most introductory books on statistical methods, and features chapters on central tendency and variability, one-sample tests, two-sample tests, matched- pairs tests, one-way fully-randomized analysis of variance, one-way randomized-blocks analysis of variance, simple regression and correlation, and the analysis of contingency tables. In addition, it introduces and describes a comparatively new permutation-based, chance-corrected measure of effect size. Because permutation tests and measures are
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