GENERALIZED LINEAR MODELS

Undergraduate

This course covers the basic theory, methodology and applications of generalized linear models. Topics include logistic regression, probit regression, binomial regression, Poisson regression, overdispersion, quasi-likelihood, and the exponential family. PREREQUISITE: STAT 3240 and STAT 3910 Three lecture hours per week