STA 138 Analysis of Categorical Data

Units: 4

Format:
Lecture: 3 hours
Discussion: 1 hour

Catalog Description:
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:
Coming Soon

Restrictions:
None

Illustrative reading:
Categorical Data Analysis by Alan Agresti

GE3:
SE, QL

Potential Overlap:
None

History:
None