STAT 902 - Generalized Linear Models

Statistical models based on the exponential family of distributions where a function of the mean response is linear in the covariates. Applications to non-normal and discrete data, including binary, Poisson and gamma regression, and log-linear models. Topics include likelihood-based estimation and testing, model-fitting, residual analysis, over-dispersed models, quasi-liklihood, and the use of computer packages.

Credits: (2)

Requisites
Pr.: STAT 704, 705, 720.

When Offered
II, in odd years

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Kansas State University

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STAT 902 - Generalized Linear Models