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Record Nr. |
UNINA9910349322903321 |
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Autore |
Berry Kenneth J |
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Titolo |
A Primer of Permutation Statistical Methods / / by Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke, Jr |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (XXIII, 476 p. 8 illus., 1 illus. in color.) |
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Disciplina |
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Soggetti |
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Statistics |
Biostatistics |
Combinatorics |
Mathematics |
History |
Statistical Theory and Methods |
Statistics for Life Sciences, Medicine, Health Sciences |
History of Mathematical Sciences |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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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- |
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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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