![A Chronicle of Permutation Statistical Methods: 1920-2000, and Beyond](http://img.images-bn.com/static/redesign/srcs/images/grey-box.png?v11.9.4)
A Chronicle of Permutation Statistical Methods: 1920-2000, and Beyond
517![A Chronicle of Permutation Statistical Methods: 1920-2000, and Beyond](http://img.images-bn.com/static/redesign/srcs/images/grey-box.png?v11.9.4)
A Chronicle of Permutation Statistical Methods: 1920-2000, and Beyond
517Hardcover(2014)
-
PICK UP IN STORECheck Availability at Nearby Stores
Available within 2 business hours
Related collections and offers
Overview
Permutation methods have advantages over classical methods in that they are optimal for small data sets and non-random samples, are data-dependent, and are free of distributional assumptions. Permutation probability values may be exact, or estimated via moment- or resampling-approximation procedures. Because permutation methods are inherently computationally-intensive, the evolution of computers and computing technology that made modern permutation methods possible accompanies the historical narrative.
Permutation analogs of many well-known statistical tests are presented in a historical context, including multiple correlation and regression, analysis of variance, contingency table analysis, and measures of association and agreement. A non-mathematical approach makes the text accessible to readers of all levels.
Product Details
ISBN-13: | 9783319027432 |
---|---|
Publisher: | Springer International Publishing |
Publication date: | 04/12/2014 |
Edition description: | 2014 |
Pages: | 517 |
Product dimensions: | 6.10(w) x 9.25(h) x 0.05(d) |
About the Author
Janis E. Johnston is a Social Science Policy Analyst with the United States government in Washington, D.C.
Paul W. Mielke, Jr. is Professor Emeritus of Statistics at Colorado State University and Fellow of the American Statistical Association.