STAT 34700 - Generalized Linear Models

Institution:
University of Chicago
Subject:
Description:
PQ: STAT 34300 or consent of instructor. This applied course covers factors, variates, contrasts, and interactions; exponential-family models (i.e., variance function); definition of a generalized linear model (i.e., link functions); specific examples of GLMs; logistic and probit regression; cumulative logistic models; log-linear models and contingency tables; inverse linear models; Quasi-likelihood and least squares; estimating functions; and partially linear models. Spring.
Credits:
3.00
Credit Hours:
Prerequisites:
Corequisites:
Exclusions:
Level:
Instructional Type:
Lecture
Notes:
Additional Information:
Historical Version(s):
Institution Website:
Phone Number:
(773) 702-1234
Regional Accreditation:
North Central Association of Colleges and Schools
Calendar System:
Quarter

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