MATH 536 - Categorical Data Analysis (3)

Inference for two-way contingency tables, generalized linear models, logistic regression, logit and probit models, log-linear models, model fitting and estimation of log-linear parameters, strategies in model selection, log-linear models for ordinal variables, Poisson regression and Poisson log-linear models.

Prerequisites: MATH 530, MATH 534.

Graduate-level

One or more sections may be offered in any online format.