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STAT635

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Generalized Linear Models

Mathematics and StatisticsSC - Faculty of Science

Subject

STAT - Statistics

Description

Exponential family of distributions, binary data models, loglinear models, overdispersion, quasi-likelihood methods, generalized additive models, longitudinal data and generalized estimating equations, model adequacy checks.

Prerequisite(s): Admission to a graduate program in Mathematics and Statistics or consent of the Department.

Antirequisite(s): Credit for Statistics 635 and Actuarial Science 611 will not be allowed.

GFC Hours

(3-0)

Domestic Fee Rate Group

A

International Fee Rate Group

B

Signature Learning

Research & Creative Scholarship

Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.

Component

LEC

Units

3

Repeat for Credit

No