Linear and Generalized Linear Models

Harvard FAS

The theory and application of linear and generalized linear models, including linear models for normal responses, least-squares theory and inference, models for binary and multinomial data, log-linear models for count data, overdispersion and quasi-likelihood methods, model selection, and computational issues. Emphasizes the theory and development of methodology.