Stat 7430: Generalized Linear Models (Spring 2020)

Peter F. Craigmile

Email: pfc <at>
Office: Cockins Hall, Room 427

Stat 7430 introduces the statistical theory and methods to extend regression and analysis of variance to non-normal data. By the end of the course students should be able to use fixed effect generalized linear models to model data. In particular there will be a focus on model identification, building, diagnostics, and inference. This course covers extensions to longitudinal models.

Prerequisites: Stat 6910, Stat 6950, 7410, and Stat 6801-Stat 6802, or permission of instructor

  • This course is hosted on Carmen.

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