MAXIMUM LIKELIHOOD ESTIMATION FOR GENERALIZED LINEAR MODELS

Credit Hours: 3 · Graduate

Explores useful statistical models beyond standard linear regression. Topics covered are logit and probit models for both binary and ordinal dependent variables, even count models, models for heteroskedastic regressions, and more. Maximum likelihood unifies these models by providing a single, coherent approach to estimation and about how data are generated.