DATS443 Generalized Linear Equations Using R (3 semester hours)

This course introduces students to generalized linear models that extend the linear modeling framework to allow response variables that are not normally distributed. Estimation and inference are included. Continuous data is considered. However, the primary focus is on binary or count data. Poisson and quasi-Poisson models are discussed. (Prerequisites: MATH227, MATH328, DATS301)

Catalog Addenda

/undergraduate/about-apus/addenda/

...DATS442 Bayesian Methods (Bayesian Inference, Naive Bays) DATS443 Generalized Linear Equations Using R DATS465 Risk...