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.

Credits

3

Prerequisite

Grade of "C" or better in MATH 6364.

Schedule Type

Lecture

Grading Basis

Standard Letter (A-F)

Administrative Unit

School of Mathematical and Statistical Sciences

Offered

As scheduled