Course Schedule - Fall Semester 2013

     

Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).
Additional information available here.

SOCI 604 001 (CRN: 19205)

GENERALIZED LINEAR MODELS

Long Title: MAXIMUM LIKELIHOOD ESTIMATION FOR GENERALIZED LINEAR MODELS
Department: Sociology
Instructor: Emerson, Michael
Meeting:  (26-AUG-2013 - 6-DEC-2013) 
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Seminar
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
 
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Must be enrolled in one of the following Class(es):
Graduate
Section Max Enrollment: 0 (permission required) Instructor Permission Required
Section Enrolled: 1
Enrollment data as of: 27-APR-2024 2:40PM
 
Additional Fees: None
 
Final Exam: Final Exam Unknown
 
Description: Explores useful statistical models beyond standard linear regression. Topics covered are logit and probit models for both binary and ordinal dependent variables, even count models, models for heteroskedastic regressions, and more. Maximum likelihood unifies these models by providing a single, coherent approach to estimation and about how data are generated.