P SC G5943 - Maximum Likelihood Estimation for Generalized Linear Models

Institution:

University of Oklahoma Norman Campus

Subject:

Description:

Prerequisite: 5933. Introduces a number of new and useful statistical models that move beyond standard linear regression. Among the topics covered are logit and probit models for both binary, multinomial and ordinal dependent variables, event count models, duration models, and models of heteroskedastic regressions. Maximum likelihood provides a single, coherent approach to estimation and a way of thinking about how data are generated. (Irreg.)

Credits:

4.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.ou.edu

Phone Number:

(405) 325-0311

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Semester

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