Generalized Linear Models

3 credits · Graduate Programs

Exponential family of distributions, binary data models, loglinear models, overdispersion, quasi-likelihood methods, generalized additive models, longitudinal data and generalized estimating equations, model adequacy checks. Prerequisite(s): Admission to a graduate program in Mathematics and Statistics or consent of the Department. Antirequisite(s): Credit for Statistics 635 and Actuarial Science 611 will not be allowed.