Overview
- Presents a methodological umbrella under which (1) disparate statistical methods are synthesized and integrated and (2) a number of new permutation statistical methods are developed
- Synthesizes and integrates a large number of existing classical statistics under a common mathematical function
- Provides computing algorithms for calculating permutation tests, and details the history of permutation statistical methods
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This research monograph provides a synthesis of a number of statistical tests and measures, which, at first consideration, appear disjoint and unrelated. Numerous comparisons of permutation and classical statistical methods are presented, and the two methods are compared via probability values and, where appropriate, measures of effect size.
Permutation statistical methods, compared to classical statistical methods, do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity of variance, and depend only on the data at hand. This text takes a unique approach to explaining statistics by integrating a large variety of statistical methods, and establishing the rigor of a topic that to many may seem to be a nascent field in statistics. This topic is new in that it took modern computing power to make permutation methods available to people working in the mainstream of research.
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Authors and Affiliations
Bibliographic Information
Book Title: Permutation Statistical Methods
Book Subtitle: An Integrated Approach
Authors: Kenneth J. Berry, Paul W. Mielke, Jr., Janis E. Johnston
DOI: https://doi.org/10.1007/978-3-319-28770-6
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-28768-3Published: 13 May 2016
Softcover ISBN: 978-3-319-80419-4Published: 27 May 2018
eBook ISBN: 978-3-319-28770-6Published: 03 May 2016
Edition Number: 1
Number of Pages: XX, 622
Number of Illustrations: 180 b/w illustrations
Topics: Statistical Theory and Methods, Statistics for Life Sciences, Medicine, Health Sciences, History of Science