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A primer of permutation statistical ...

Berry, Kenneth J.

A primer of permutation statistical methods

Record Type:	Electronic resources : Monograph/item
Title/Author:	A primer of permutation statistical methodsby Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke, Jr.
Author:	Berry, Kenneth J.
other author:	Johnston, Janis E.
Published:	Cham :Springer International Publishing :2019.
Description:	xxiii, 476 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	PermutationsStatistical methods.
Online resource:	https://doi.org/10.1007/978-3-030-20933-9
ISBN:	9783030209339$q(electronic bk.)

A primer of permutation statistical methods
Berry, Kenneth J.

A primer of permutation statistical methods[electronic resource] /by Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke, Jr. - Cham :Springer International Publishing :2019. - xxiii, 476 p. :ill., digital ;24 cm.

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.

ISBN: 9783030209339$q(electronic bk.)

Standard No.: 10.1007/978-3-030-20933-9doiSubjects--Topical Terms:

680644
Permutations
--Statistical methods.

LC Class. No.: QA165 / .B47 2019

Dewey Class. No.: 511.64

A primer of permutation statistical methods
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520 $a 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.
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