Overview
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. lly-informed="""" audience,="""" and="""" can="""" also="""" easily="""" serve="""" as="""" textbook="""" in="""" graduate="""" course="""" departments="""" such="""" statistics,="""" psychology,="""" or="""" biology.="""" particular,="""" the="""" audience="""" for="""" book="""" is="""" teachers="""" of="""" practicing="""" statisticians,="""" applied="""" quantitative="""" students="""" fields="""" medical="""" research,="""" epidemiology,="""" public="""" health,="""" biology.
Full Product Details
Author: Kenneth J. Berry ,
Paul W. Mielke Jr. ,
Janis E. Johnston
Publisher: Springer International Publishing AG
Imprint: Springer International Publishing AG
Edition: Softcover reprint of the original 1st ed. 2016
Dimensions:
Width: 15.50cm
, Height: 3.30cm
, Length: 23.50cm
Weight: 9.591kg
ISBN: 9783319804194
ISBN 10: 3319804197
Pages: 622
Publication Date: 27 May 2018
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Paperback
Publisher's Status: Active
Availability: Manufactured on demand
We will order this item for you from a manufactured on demand supplier.
Reviews
This book summarizes the applications of the MRPP done by the authors to various statistical problems ... . This book may be useful for researchers who are interested in extending the MRPP to other types of data and statistical problems, for example, survival data with possible censoring of observations. (Dongsheng Tu, zbMATH 1358.62011, 2017)
“This book summarizes the applications of the MRPP done by the authors to various statistical problems … . This book may be useful for researchers who are interested in extending the MRPP to other types of data and statistical problems, for example, survival data with possible censoring of observations.” (Dongsheng Tu, zbMATH 1358.62011, 2017)
