STAT 426
Spring 2022 All Classes
Credit: 3 OR 4 hours.
This is a continuation in the study of advanced statistical modeling techniques with a focus on categorical data. The course explores logistic regression, generalized linear models, goodness-of-fit, link functions, count regression, log-linear models, probability models for contingency tables, and ordinal response models. Statistical computing is an integral part of the course.
3 undergraduate hours. 4 graduate hours. Prerequisite: STAT 410; STAT 425.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
36185
|
Lecture-Discussion
|
1GR
|
1:00PM
-1:50PM
|
MWF
|
1090 Lincoln Hall
|
Yun, S
|
|
|
|
36179
|
Lecture-Discussion
|
1UG
|
1:00PM
-1:50PM
|
MWF
|
1090 Lincoln Hall
|
Yun, S
|
|
|
|
60245
|
Lecture-Discussion
|
2GR
|
2:00PM
-2:50PM
|
MWF
|
1090 Lincoln Hall
|
Yun, S
|
|
|
|
60246
|
Lecture-Discussion
|
2UG
|
2:00PM
-2:50PM
|
MWF
|
1090 Lincoln Hall
|
Yun, S
|
|