STAT 426

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Credit: 3 OR 4 hours.

This is a continuation in the study of advanced statistical modeling techniques with a focus on categorical data. The course explores logistic regression, generalized linear models, goodness-of-fit, link functions, count regression, log-linear models, probability models for contingency tables, and ordinal response models. Statistical computing is an integral part of the course.

3 undergraduate hours. 4 graduate hours. Prerequisite: STAT 410; STAT 425.

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