STATS 211
Statistical Methods II: Generalized Linear Models
Development of the theory and application of generalized linear models. Topics include likelihood estimation and asymptotic distributional theory for exponential families, quasi-likelihood and mixed model development. Emphasizes methodological development and application to real scientific problems.
Topics
- likelihood estimation and asymptotic distributional theory for exponential families
- quasi-likelihood and mixed model development
Topics explicitly listed in official catalogue description
Prerequisites & course information
Development of the theory and application of generalized linear models. Topics include likelihood estimation and asymptotic distributional theory for exponential families, quasi-likelihood and mixed model development. Emphasizes methodological development and application to real scientific problems.
Sources
- Course catalogue ↗2026-2027