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STAT 6680 - Categorical Data AnalysisStatistical 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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