STAT 6680 - Categorical Data Analysis

Statistical methods for discrete multivariate data and contingency tables will be discussed. The log linear model for two way and higher dimensional tables will be emphasized. Subtopics include: maximum likelihood estimates, iterative proportional fitting, model selection, goodness of fit, logistic models, incomplete tables, symmetry, marginal homogeneity, and conditional independence models.

Prerequisites/Corequisites: Prerequisites: STAT 6600 and STAT 6620.

Credits: 3 hours

Notes: Open to graduate students only.

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