Permutation Statistical Methods with R /

This book takes a unique approach to explaining permutation statistics by integrating permutation statistical methods with a wide range of classical statistical methods and associated R programs. It opens by comparing and contrasting two models of statistical inference: the classical population mode...

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Bibliographic Details
Main Authors:	Berry, Kenneth J. (Author), Kvamme, Kenneth L. (Author), Johnston, Janis E. (Author), Mielke, Jr., Paul W. (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:	1st ed. 2021.
Subjects:	Statistics . Statistical Theory and Methods. Statistics for Life Sciences, Medicine, Health Sciences. Statistics for Social Sciences, Humanities, Law. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Preface
1 Introduction
2 The R Programming Language
3 Permutation Statistical Methods
4 Central Tendency and Variability
5 One-sample Tests
6 Two-sample Tests
7 Matched-pairs Tests
8 Completely-randomized Designs
9 Randomized-blocks Designs
10 Correlation and Association
11 Chi-squared and Related Measures
References
Index.