MATH 523. Generalized Linear Models.
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MATH 523
Generalized Linear Models.
Credits: 4
Offered by: Mathematics and Statistics (Faculty of Science)
This course is not offered this catalogue year.
Description
Exponential families, link functions. Inference and parameter estimation for generalized linear models; model selection using analysis of deviance. Residuals. Contingency table analysis, logistic regression, multinomial regression, Poisson regression, log-linear models. Multinomial models. Overdispersion and Quasilikelihood.
Applications to experimental and observational data.
- Restriction: Not open to students who have taken MATH 426
- Winter
- Prerequisite: MATH 423 or MATH 533 or EPIB 697.
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