Categorical data analysis /
The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. Responding to new developments in the field as well as to the needs of a new generation of professionals and students, this new edition of the classic...
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| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
Hoboken, N.J. :
Wiley-Interscience,
c2002.
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| Edition: | 2nd ed. |
| Series: | Wiley series in probability and statistics.
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| Subjects: | |
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Table of Contents:
- Introduction : distributions and inference for categorical data
- Describing contingency tables
- Inference for contingency tables
- Introduction to generalized linear models
- Logistic regression
- Building and applying logistic regression models
- Logit models for multinomial responses
- Loglinear models for contingency tables
- Building and extending loglinear/logit models
- Models for matched pairs
- Analyzing repeated categorical response data
- Random effects : generalized linear mixed models for categorical responses
- Other mixture models for categorical data
- Asymptotic theory for parametric models
- Alternative estimation theory for parametric models
- Historical tour of categorical data analysis.