Statistics (STAT) Courses>Generalized Linear Models

STAT458 - Generalized Linear Models

Description

Nonlinear regression models; logit and probit models for binomial responses; log-linear models for counts; quasi-likelihoods and generalized estimating equations for non-normal data.

Units

1.5

Hours: lecture-lab-tutorial

3-0-0

Note(s)

  • Students with credit for STAT 454 require permission of the department.

Prerequisites

  • Complete all of:
    • STAT350 - Mathematical Statistics I (1.5)
    • STAT353 - Applied Regression Analysis (1.5)

Course offered by

Department of Mathematics and Statistics

Course schedules

Summer timetable available: February 15. Fall and Spring timetables available: May 15.

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