STAT 8630 - Advanced Statistical Applications II

Institution:

University of Georgia

Subject:

Description:

Theoretical foundations for the generalized linear model are introduced. Applications to Gaussian, binary, polytomous, and counts data are considered. Topics include hierarchical model building, estimation algorithms, analysis of deviance, and diagnostics. Extensions include overdispersed data, mixed generalized linear models, longitudinal data, and spatial data.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.uga.edu

Phone Number:

(706) 542-3000

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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