STAT-616 Generalized Linear Models (3) Course Level: Graduate
Generalized Linear Models (3) Extension of regression methodology to more general settings where standard assumptions for ordinary least squares are violated. Generalized least squares, robust regression, bootstrap, regression in the presence of auto-correlated errors, generalized linear models, logistic and Poisson regression. Usually Offered: spring. Prerequisite: STAT-615 and a course in calculus.