Subject
STAT - Statistics
Description
Exponential family of distributions, binary data models, loglinear models, overdispersion, quasi-likelihood methods, generalized additive models, longitudinal data and generalized estimating equations, model adequacy checks.
Prerequisite(s): Admission to a graduate program in Mathematics and Statistics or consent of the Department.
Prerequisite(s): Admission to a graduate program in Mathematics and Statistics or consent of the Department.
Domestic Fee Rate Group
A
International Fee Rate Group
B
GFC Hours
3-0
Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.
Component
LEC
Units
3
Repeat for Credit
No
Subject code
STAT