STAT 426
Fall 2023 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 | |
|---|---|---|---|---|---|---|---|---|
|
75362
|
Lecture-Discussion
|
1GR
|
4:00PM
-4:50PM
|
MWF
|
1090 Lincoln Hall
|
Jia, W
|
|
|
|
75363
|
Lecture-Discussion
|
1UG
|
4:00PM
-4:50PM
|
MWF
|
1090 Lincoln Hall
|
Jia, W
|
|
|
|
68365
|
Lecture-Discussion
|
2GR
|
3:00PM
-3:50PM
|
MWF
|
1002 Lincoln Hall
|
Jia, W
|
|
|
|
68366
|
Lecture-Discussion
|
2UG
|
3:00PM
-3:50PM
|
MWF
|
1002 Lincoln Hall
|
Jia, W
|
|
|
|
78381
|
Lecture-Discussion
|
3GR
|
10:00AM
-10:50AM
|
MWF
|
1000 Lincoln Hall
|
Bravo De Guenni, L
|
|
|
|
78382
|
Lecture-Discussion
|
3UG
|
10:00AM
-10:50AM
|
MWF
|
1000 Lincoln Hall
|
Bravo De Guenni, L
|
|