A Contingency Table Approach to Nonparametric Testing
Published on 7. December 2000
264 pages
978-1-040-20168-8 (ISBN)
Description
Most texts on nonparametric techniques concentrate on location and linear-linear (correlation) tests, with less emphasis on dispersion effects and linear-quadratic tests. Tests for higher moment effects are virtually ignored. Using a fresh approach, A Contingency Table Approach to Nonparametric Testing unifies and extends the popular, standard test
Reviews / Votes
"I found many of the ideas in this book interesting and compelling... this book presents an interesting modernization of certain classical nonparametric tests in terms of contingency tables. The authors have made a valuable contribution to the statistical literature..."-Biometrics, December 2001
"Although its subject is highly technical, the book somehow maintains a good balance between theories and application. The excellent Appendix is self-contained and very easy to read...Overall, this book is an excellent addition to the statistical literature..."
-Technometrics, February 2003
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
File size
2,23 MB
ISBN-13
978-1-040-20168-8 (9781040201688)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
J.C.W. Rayner | D.J. Best
A Contingency Table Approach to Nonparametric Testing
Book
12/2000
1st Edition
Chapman & Hall/CRC
€297.12
Article not available at the moment
Persons
Content
Introduction. Modelling Ties. Tests on One-Way Layout Data: Extensions to the Median and Kruska-Wallis Tests. Tests Based on a Product Multinomial Model: Yates Test and Its Extensions. Further Tests Based on a Product Multinomial Model: Order in the Sign Test and Ordinal Categorical Data with a Factorial Response. Tests on Complete Randomised Blocks: Extensions to the Friedman and Cochran Tests. Further Tests on Randomised Blocks: Extensions to Durbin's Test. Extensions to a Nonparametric Correlation Test: Spearman's Test. One and S-Sample Smooth Tests of Goodness of Fit. Conclusion. Appendices.
