Generalized Linear Models

1. Basics of Generalized Linear Models

1.1 Generalized Linear Model

1.2. Maximum Likelihood Estimation

1.3. Deviance and Goodness of Fit

1.4. Residuals for GLMs

1.5. Methods for Solving Likelihood Equations

1.6. Estimaton of Dispersion Parameter

1.7. Distribution Theory

1.8. Hypothesis Testing

  

2. GLMs for Binary Data

2.1. Introduction to GLMs for Binary Data

2.2. Asymptotic distribution of GLMs for Binary Data

2.3. Likelihood Equations for Binary GLMs

2.4. Probit Links

2.5. Log-log Links

  

3. GLMs for Count Data

3.1. Introduction to GLMs for Count Data

3.2. Overdispersion

3.3. Quasi Likelihood Approach

3.4. Mixture Modeling

  

4. Multinomial Response Models

4.1. Models for Nominal Responses

4.2. Models for Ordinal Responses

  

5. Models for Repeated Measurements

5.1. Models for Multivariate Respnses

5.2. Conditional Models

5.3. Generalized Linear Mixed Models

  

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