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 Categorical Data Analysis, 2nd Edition
ISBN: 978-0-471-36093-3
Hardcover
734 pages
July 2002
US $135.00
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Preface.
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.
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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