MATH 523. Generalized Linear Models.

Credits: 4
Offered by: Mathematics and Statistics (Faculty of Science)
Terms offered: Winter 2026
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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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