STAT 4000
Applied Statistical Modelling
Generalizations of linear models, including polynomial regression, analysis of covariance, logistic regression and regression for count data. Other optional topics include: random effects and mixed models, models for dependent data, advanced concepts in designing experiments. This course is not for use in any of the Major, Honours or Joint Honours degree programs in Statistics. May not be held with STAT 3550 .
Prerequisites & course information
PR/CR: A minimum grade of C is required unless otherwise indicated. Prerequisite: one of STAT 3000 , STAT 3450 , the former STAT 3120, or the former STAT 3470. Mutually Exclusive: STAT 3550 Attributes: Mathematics Requirement, Science
Sources
- Course catalogue ↗2026-2027