Generalized Linear Models

Introduces the statistical theory and methods to extend regression and analysis of variance to non-normal data. Students will learn to use fixed and random effect generalized linear models to model univariate and multivariate data.
Prereq: 6801, 6802, 6910, 6950, and 7410; or permission of instructor.

Credit Hours: 3

Prerequisite(s):

Term: Spring

Typical semesters offered are indicated at the bottom of this page. For confirmation check the Schedule of Classes list on the Registrar's website.

Recent Syllabi

Spring 2026 Statistics 7430 syllabus with instructor Russo.docx760.06 KB

Spring 2025 Statistics 7430 syllabus for instructor Russo.docx767.74 KB

Spring 2024 STAT 7430 syllabus for instructor Russo.pdf189.74 KB

Spring 2023 Statistics 7430 syllabus for instructor Craigmile [pdf]118.05 KB

Spring 2022 Statistics 7430 syllabus for Instructor Craigmile [pdf]423.02 KB

Spring 2021 Statistics 7430 syllabus for instructor Craigmile [pdf]425.89 KB

SP20 STAT 7430 Craigmile [pdf]

SP19 STAT 7430 Kaizar [pdf]

SP18 STAT 7430 Kaizar [pdf]

SP17 STAT 7430 Kaizar [pdf]

SP16 STAT 7430 Kaizar [pdf]

SP15 STAT 7430 Craigmile [pdf]

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