STAT 7430: 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 (620 and 621), 6802 (621 and 622), 6910 (641), 6950 (645), and 7410 (742); or permission of instructor. Not open to students with credit for 743.
Prereq: 6801 (620 and 621), 6802 (621 and 622), 6910 (641), 6950 (645), and 7410 (742); or permission of instructor. Not open to students with credit for 743.
Credit Hours
3
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
SP20 STAT 7430 Craigmile [pdf]
SP15 STAT 7430 Craigmile [pdf]
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Semester(s) Offered:
Spring