Discrete Multivariate Analysis

Undergraduate

This course is aimed at giving theoretical and methodological background for the analysis of discrete or continuous data using generalized linear models. The main topics covered are descriptive and inferential statistics for two-way and three-way contingency tables, generalized linear models for discrete responses, binary regression models (emphasizing logistic regression), multicategory logit models for nominal and ordinal responses, loglinear models for contingency tables, matched pairs, Modeling correlated, clustered responses, and Random effects: Generalized linear mixed model. (Prerequisite: STAT-3920 and STAT-3950).(May be offered as a cross-career course with STAT-8490).