Permutation statistical methods [electronic resource] : an integrated approach / Kenneth J. Berry, Paul W. Mielke, Jr., Janis E. Johnston.
2016
QA276
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Details
Title
Permutation statistical methods [electronic resource] : an integrated approach / Kenneth J. Berry, Paul W. Mielke, Jr., Janis E. Johnston.
Author
Berry, Kenneth J., author.
ISBN
9783319287706 (electronic book)
3319287702 (electronic book)
9783319287683
3319287680
3319287702 (electronic book)
9783319287683
3319287680
Published
Cham : Springer, 2016.
Language
English
Description
1 online resource (xx, 622 pages) : illustrations
Other Standard Identifiers
10.1007/978-3-319-28770-6 doi
Call Number
QA276
Dewey Decimal Classification
519.5
Summary
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. This research monograph addresses a statistically-informed audience, and can also easily serve as a textbook in a graduate course in departments such as statistics, psychology, or biology. In particular, the audience for the book is teachers of statistics, practicing statisticians, applied statisticians, and quantitative graduate students in fields such as psychology, medical research, epidemiology, public health, and biology.
Bibliography, etc. Note
Includes bibliographical references and indexes.
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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed May 11, 2016).
Available in Other Form
Print version: 9783319287683
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Table of Contents
Preface
1.Introduction
2.Completely Randomized Data
3.Randomized Designs: Interval Data
4.Regression Analysis of Interval Data
5.Randomized Designs: Ordinal Data, I
6.Randomized Designs: Ordinal Data, II
7.Randomized Designs: Nominal Data
8.Randomized Designs: Nominal Data
9.Randomized Block Designs: Interval Data
10.Randomized Block Designs: Ordinal Data
11.Randomized Block Designs: Nominal Data
Epilogue
References
Author Index
Subject Index.
1.Introduction
2.Completely Randomized Data
3.Randomized Designs: Interval Data
4.Regression Analysis of Interval Data
5.Randomized Designs: Ordinal Data, I
6.Randomized Designs: Ordinal Data, II
7.Randomized Designs: Nominal Data
8.Randomized Designs: Nominal Data
9.Randomized Block Designs: Interval Data
10.Randomized Block Designs: Ordinal Data
11.Randomized Block Designs: Nominal Data
Epilogue
References
Author Index
Subject Index.