A Primer of Permutation Statistical Methods (Paperback, 1st ed. 2019)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	August 2020
First published:	2019
Authors:	Kenneth J. Berry • Janis E. Johnston • Paul W. Mielke Jr.
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	476
Edition:	1st ed. 2019
ISBN-13:	978-3-03-020935-3
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Combinatorics & graph theory Books > Science & Mathematics > Mathematics > History of mathematics Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General
LSN:	3-03-020935-0
Barcode:	9783030209353

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