Log-Linear Models and Logistic Regression
This book examines statistical models for frequency data. The primary focus is on log-linear models for contingency tables but also includes extensive discussion of logistic regression. Topics such as logistic discrimination, generalized linear models, and correspondence analysis are also explored....
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| 団体著者: | |
| フォーマット: | 電子媒体 eBook |
| 言語: | 英語 |
| 出版事項: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| 版: | 3rd ed. 2025. |
| シリーズ: | Springer Texts in Statistics,
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| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/978-3-031-69038-9 |
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目次:
- Two-Dimensional Tables and Simple Logistic Regression
- Three-Dimensional Tables
- Logistic Regression, Logit Models, and Logistic Discrimination
- Independence Relationships and Graphical Models
- Model Selection Methods and Model Evaluation
- Models for Factors with Quantitative Levels
- Fixed and Random Zeros
- Generalized Linear Models
- The Matrix Approach to Log-Linear Models
- The Matrix Approach to Logit Models
- Maximum Likelihood Theory for Log-Linear Models
- Bayesian Binomial Regression. Exact Conditional Tests. - Correspondence Analysis.