A Primer of Permutation Statistical Methods
Produktnummer:
18da329e47fe1a41a4b81316ce539a8d21
Autor: | Berry, Kenneth J. Johnston, Janis E. Mielke, Jr., Paul W. |
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Themengebiete: | 62gxx, 62-07, 62-03, 01-08, 62axx Contingency tables Exact tests Moment approximation tests Monte Carlo tests Permutation Randomization combinatorics |
Veröffentlichungsdatum: | 13.08.2019 |
EAN: | 9783030209322 |
Sprache: | Englisch |
Seitenzahl: | 476 |
Produktart: | Gebunden |
Verlag: | Springer International Publishing |
Produktinformationen "A Primer of Permutation Statistical Methods"
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 distribution-free, do not assume normality, and do not rely on squared deviations among sample values, they are currently being applied in a wide variety of disciplines. This book presents permutation alternatives to existing classical statistics, and is intended as a textbook for undergraduate statistics courses or graduate courses in the natural, social, and physical sciences, while assuming only an elementary grasp of statistics.

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