STAT 426
Fall 2021 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
|
124 Burrill Hall
|
Bravo De Guenni, L
|
|
|
|
75363
|
Lecture-Discussion
|
1UG
|
4:00PM
-4:50PM
|
MWF
|
124 Burrill Hall
|
Bravo De Guenni, L
|
|
|
|
68365
|
Online
|
OGR
|
ARRANGED
|
n.a.
|
n.a.
|
Simpson, D
|
|
|
|
68366
|
Online
|
OUG
|
ARRANGED
|
n.a.
|
n.a.
|
Simpson, D
|
|