MATH 8343 Linear Models
This course introduces linear models with and without random effects as well as linear mixed models. Full and non-full rank models will be addressed in detail. Topics include simple and multiple regression, analysis of variance for factorial and block designs, generalized linear models, and generalized linear mixed models. The necessary statistical analyses will be done using statistical software such as SAS, R, etc.
Prerequisite
Consent of instructor.
Offered
As scheduled