STAT 8620

Categorical Data Analysis and Generalized Linear Models
Credit Hours:
3 hours

Categorical data analysis and generalized linear models beginning with contingency tables and their analysis. Theory of generalized linear models will then be presented, followed by more detailed and application-oriented discussions of special cases, including logistic, log-linear models, and multinomial response models. Overdispersion is also discussed.

Prerequisites:
STAT 8260 and (STAT 4520/6520 or STAT 6820)
Semester Offered:
Fall
Level:
Graduate

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