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More About This Title Categorical Data Analysis, Second Edition
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English
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English
1. Introduction: Distributions and Inference for Categorical Data.
2. Describing Contingency Tables.
3. Inference for Contingency Tables.
4. Introduction to Generalized Linear Models.
5. Logistic Regression.
6. Building and Applying Logistic Regression Models.
7. Logit Models for Multinomial Responses.
8. Loglinear Models for Contingency Tables.
9. Building and Extending Loglinear/Logit Models.
10. Models for Matched Pairs.
11. Analyzing Repeated Categorical Response Data.
12. Random Effects: Generalized Linear Mixed Models for Categorical Responses.
13. Other Mixture Models for Categorical Data*.
14. Asymptotic Theory for Parametric Models.
15. Alternative Estimation Theory for Parametric Models.
16. Historical Tour of Categorical Data Analysis*.
Appendix A. Using Computer Software to Analyze Categorical Data.
Appendix B. Chi-Squared Distribution Values.
References.
Examples Index.
Author Index.
Subject Index.
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English
"...careful, thorough, up-to-date volume...the new content and emphases in the second edition are sufficient to justify its purchase even by someone who already owns the first edition." (Journal of the American Statistical Association, June 2004)
"I liked this revised edition and recommend it highly to statisticians and graduate students." (Journal of Statistical Computation & Simulation, March 2004)
"...a highly satisfactory text on methods for categorical response variables...more complete and technical [than the First Edition]..." (IIE Transactions on Quality and Reliability Engineering)
"If you own the 1E, you absolutely need to upgrade to the 2E. If you do any analysis of categorical data, this is an essential desktop reference..." (Technometrics, Vol. 45, No. 1, February 2003)
"...this classic book is substantially modified and expanded..." (International Journal of General Systems, Vol. 32, 2003)
"...it is a total delight reading this book, which should be considered as the current standard textbook for teaching analysis of categorical data." (Pharmaceutical Research, Vol. 20, No. 6, June 2003)
"...written in a highly scientific but vivid style, intelligible for all researchers in that field...simply expressed, grand..." (Zentralblatt Math, 2004)