Fall 2018  |  POL 8108 Section 001: Maximum Likelihood Estimation (33557)

Instructor(s)
Class Component:
Laboratory
Credits:
3 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
09/04/2018 - 12/12/2018
Tue 03:35PM - 05:20PM
UMTC, East Bank
Social Sciences Building 1383
Enrollment Status:
Open (4 of 10 seats filled)
Also Offered:
Course Catalog Description:
This course presents an overview of the likelihood theory of statistical inference, and its wide range of uses in applied quantitative political science. When dependent variables take the form of ordered or unordered categories, event counts, or otherwise violate the traditional assumptions of the linear regression model, models estimated by maximum likelihood provide an essential alternative. Topics covered include binary, multinomial, and ordered logit/probit, Poisson regression, and multilevel models. We will rely heavily on computational methods of analysis using the R statistical computing environment, and instruction on how to use R for applied research will be provided throughout the length of the course.
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/33557/1189

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