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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-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.Produkteigenschaften
- Artikelnummer: 9783030209353
- Medium: Buch
- ISBN: 978-3-030-20935-3
- Verlag: Springer International Publishing
- Erscheinungstermin: 13.08.2020
- Sprache(n): Englisch
- Auflage: 1. Auflage 2019
- Produktform: Kartoniert
- Gewicht: 750 g
- Seiten: 476
- Format (B x H x T): 155 x 235 x 27 mm
- Ausgabetyp: Kein, Unbekannt