TSTAT 434

Applied Generalized Linear Models

University of Washington-Tacoma Campus · UGRD · Fall 2026

1 section

Catalog description

Introduces the statistical theory and methods to extend regression and analysis of variance to non-normal data, including parameter estimation and goodness-of-fit for generalized linear models (GLMs); application to binary, Poisson, negative binomial, and gamma GLMs; quasi-likelihood estimates and overdispersion. Course overlaps with: STAT 424. Prerequisite: a minimum grade of 2.0 in TSTAT 430.

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Class #washington_tacoma_campus-1536Fall 2026UGRD5 credits

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