Permutation Tests
A Practical Guide to Resampling Methods for Testing Hypotheses
Phillip Good(Author)
Springer (Publisher)
199th Edition
Published in January 1994
Book
Hardback
X, 228 pages
978-3-540-94097-5 (ISBN)
Article exhausted; check for reprint
Description
This book presents a readable introduction to the use of permutation methods for testing statistical hypotheses. The chief value in using such methods is that they may be applied in a wide variety of settings, to continuous, discrete, and categorical data, and to values from almost all probability distributions. In addition, permutation tests are generally robust in circumstances where there are problems with missing data. The emphasis of the book is on the practical use of such tests, and throughout examples are given to illustrate the techniques discussed. These examples are drawn from a wide range of settings including archaeology, biology, climatology, education, and the social sciences. An extensive bibliography is also included which provides references to over 500 articles related to the subject of permutation tests. As a result, many researchers will find this an invaluable reference work, as well as a handy desktop companion.
More details
Series
Edition
199., Corr. 3rd printing
Language
English
Place of publication
Berlin
Germany
Target group
College/higher education
Professional and scholarly
Illustrations
13 figs.
Dimensions
Height: 216 mm
Width: 138 mm
Weight
520 gr
ISBN-13
978-3-540-94097-5 (9783540940975)
Schweitzer Classification
Other editions
New editions

Book
01/2000
2nd Edition
Springer
€85.59
Article exhausted; check for reprint
Content
1. A Wide Range of Tests; 2. A Simple Test; 3. Testing Hypotheses; 4. Experimental Design; 5. Multivariate Analysis; 6. Categorical Data; 7. Dependence; 8. Clustering in Time and Space; 9. Coping with Disaster; 10. Which Statistic? Solving the Insolvable; 11. Which Test Should You Use; 12. Publishing Your Results; 13. Increasing Computational Efficiency; 14. Theory of Permuation Tests