Lecture: 3 hours
Discussion: 1 hour
Varieties of categorical data, cross-classifications, contingency tables, tests for independence. Multidimensional tables and log-linear models, maximum likelihood estimation; tests of goodness-of-fit. Logit models, linear logistic models. Analysis of incomplete tables. Packaged computer programs, analysis of real data.
Prerequisite: (STA 130B or STA 131B) or (STA 106, STA 108)
Summary of course contents:
Categorical Data Analysis by Alan Agresti