STAT 6383 Experimental Design and Categorical Data
Course topics include design and analysis of experiments, including one-way and two-way layouts; factorial experiments; balanced incomplete block designs; crossed and nested classifications; fixed, random, and mixed models; split-plot designs, inference for categorical data, contingency tables, generalized linear models, logistic regression, and logit and log linear models.
Prerequisite
Grade of C or better in
MATH 6364.
Offered
As scheduled