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Book synopsis

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.

Book details

• Full title: Primer of Permutation Statistical Methods
• Author: Janis E. Johnston, Jr. Mielke
• Language: English
• Binding: Paperback
• Number of pages: 476
• EAN: 9783030209353
• ISBN: 3030209350
• ID: 33089303
• Publisher: Springer Nature Switzerland AG
• Weight: 759 g
• Dimensions: 235 × 155 × 27 mm
• Date of publishing: 13. August 2020

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