Mark Glickman
STAT 149 | Spring 2025 | Course Listing
Monday & Wednesday, 9:00 AM – 10:15 AM
Sequel to Statistics 139, emphasizing common methods for analyzing continuous non-normal and categorical data. Topics include logistic regression, log-linear models, multinomial logit models, proportional odds models for ordinal data, Gamma and inverse-Gaussian models, over-dispersion, analysis of deviance, model selection and criticism, model diagnostics, and an introduction to non-parametric regression methods.
Recommended Prep: Statistics 139 or with permission of instructor.