Permutation Methods: A Distance Function Approach
โ Scribed by Paul W. Mielke, Kenneth J. Berry
- Year
- 2007
- Tongue
- English
- Leaves
- 448
- Series
- Springer Series in Statistics
- Edition
- Second Edition
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
The book will provide a comprehensive treatment of statistical inference using permutation techniques. Its purpose is to make available to practitioners a variety of useful and powerful data analytic tools that rely on very few distributional assumptions. Although many of these procedures have appeared in journal articles, they are not readily available to practitioners.
โฆ Table of Contents
Preface to the Second Edition......Page 6
Preface to the First Edition......Page 8
Contents......Page 11
Introduction......Page 16
Description of MRPP......Page 26
Additional MRPP Applications......Page 84
Description of MRBP......Page 139
Regression Analysis, Prediction, and Agreement......Page 184
Goodness-of-Fit Tests......Page 276
Contingency Tables......Page 296
Multisample Homogeneity Tests......Page 341
Selected Permutation Studies......Page 353
A Computer Programs......Page 396
References......Page 403
Author Index......Page 432
Subject Index......Page 438
๐ SIMILAR VOLUMES
This is the second edition of the comprehensive treatment of statistical inference using permutation techniques. It makes available to practitioners a variety of useful and powerful data analytic tools that rely on very few distributional assumptions. Although many of these procedures have appeared
This is the second edition of the comprehensive treatment of statistical inference using permutation techniques. It makes available to practitioners a variety of useful and powerful data analytic tools that rely on very few distributional assumptions. Although many of these procedures have appeared
<p><p>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