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Feb 09, 2025
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Graduate Record 2018-2019 [ARCHIVED RECORD]
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STAT 7130 - Generalized Linear Models Course develops fundamental data-analysis methodology based on generalized linear models.Topics include the origins of generalized linear models, binary and polytomous data, probit analysis, logit models for proportions, log-linear models for counts, inverse polynomial models, quasi-likelihood models, & survival data models. Conceptual disc. is supplemented w/hands-on practice in applied data-analysis tasks using SAS or R statistical software.
Prerequisite: STAT 6120, STAT 6190, and graduate standing in Statistics
Credits: 3
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