Generalized Linear Models

Series Editor's Introduction About the Authors Acknowledgements 1. Introduction Model Specification Prerequisites and Preliminaries Looking Forward 2. The Exponential Family Justification Derivation of the Exponential Family Form Canonical Form Multi-Parameter Models 3. Likelihood Theory and the Moments Maximum Likelihood Estimation Calculating the Mean of the Exponential Family Calculating the Variance of the Exponential Family The Variance Function 4. Linear Structure and the Link Function The Generalization Distributions 5. Estimation Procedures Estimation Techniques Profile Likelihood Confidence Intervals Comments on Estimation 6. Residuals and Model Fit Defining Residuals Measuring and Comparing Goodness-of-Fit Asymptotic Properties 7. Extentions to Generalized Linear Models Introduction to Extensions Quasi-Likelihood Estimation Generalized Linear Mixed Effects Model Fractional Regression Models The Tobit Model A Type-2 Tobit Model with Stochastic Censoring Zero Inflated Accomodating Models A Warning About Robust Standard Errors Summary 8. Conclusion Summary Related Topics Classic Reading Final Motivation 9. References