Authors:
- Contains valuable techniques for reducing computation time,
- practical advice on experimental design, comparisons with bootstrap, parametric, and nonparametric techniques and a three-part bibliography featuring more than 1,000 articles
Part of the book series: Springer Series in Statistics (SSS)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (14 chapters)
-
Front Matter
-
Back Matter
About this book
Reviews
From a review of the first edition:
"Permutation Tests is a welcome addition to the literature on this subject and will prove a valuable guide for practitioners...This book has already become an important addition to my reference library. Those interested in permutation tests and its applications will enjoy reading it."
Journal of the American Statistical Association
Review of the third edition:
"The book has been considerably reorganized and extensively rewritten from the 1E and the second edition...Although it is larger by only 30 pages, it is still a much different book." Technometrics, November 2005
Authors and Affiliations
-
Huntington Beach, USA
Phillip Good
Bibliographic Information
Book Title: Permutation Tests
Book Subtitle: A Practical Guide to Resampling Methods for Testing Hypotheses
Authors: Phillip Good
Series Title: Springer Series in Statistics
DOI: https://doi.org/10.1007/978-1-4757-3235-1
Publisher: Springer New York, NY
-
eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2000
eBook ISBN: 978-1-4757-3235-1
Series ISSN: 0172-7397
Series E-ISSN: 2197-568X
Edition Number: 2
Number of Pages: XVI, 271
Number of Illustrations: 8 b/w illustrations
Topics: Statistical Theory and Methods, Statistics for Life Sciences, Medicine, Health Sciences, Statistics for Business, Management, Economics, Finance, Insurance