Details

Autor(en) / Beteiligte

• Berry, Kenneth J
• Johnston, Janis E
• Mielke, Jr., Paul W

Titel

A Primer of Permutation Statistical Methods [electronic resource]

Auflage

1st ed. 2019

Ort / Verlag

Cham : Springer International Publishing

Erscheinungsjahr

2019

Link zum Volltext

• SpringerLink Books - AutoHoldings

Beschreibungen/Notizen

• 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.