STA 652 - ADVANCED STATISTICAL MODELING

College of Arts and Sciences

Credits: 3

This course aims to teach students to use advanced statistical modeling techniques and to interpret the results in context. Specifically, the statistical methods covered include general linear models and linear mixed models, semiparametric regression, nonlinear models, mixed models in ANOVA, generalized linear models, ridge regression, and repeated measures experiments.

Prerequisite(s):
Prereq: STA 649 and graduate status in Master of Applied Statistics.
Approved for Distance Learning.