STAT 426

Spring 2022 All Classes

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.

STAT 426 class schedule data for spring 2022
CRN Type Section Time Day Location Instructor Section Details
36185
Lecture-Discussion
1GR
1:00PM -1:50PM
MWF
1090 Lincoln Hall
Yun, S
Part of Term:
1
Date Range:
01/18/22-05/04/22
Credit:
4 hours
Section Info:
For Statistics course registration information: go.illinois.edu/StatisticsRegistration
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
36179
Lecture-Discussion
1UG
1:00PM -1:50PM
MWF
1090 Lincoln Hall
Yun, S
Part of Term:
1
Date Range:
01/18/22-05/04/22
Credit:
3 hours
Section Info:
For Statistics course registration information: go.illinois.edu/StatisticsRegistration
Restriction(s):
Restricted to Undergrad - Urbana-Champaign.
60245
Lecture-Discussion
2GR
2:00PM -2:50PM
MWF
1090 Lincoln Hall
Yun, S
Part of Term:
1
Date Range:
01/18/22-05/04/22
Credit:
4 hours
Section Info:
For Statistics course registration information: go.illinois.edu/StatisticsRegistration.
Restriction(s):
Restricted to Graduate - Urbana-Champaign. Not intended for PHD:Statistics -UIUC.
60246
Lecture-Discussion
2UG
2:00PM -2:50PM
MWF
1090 Lincoln Hall
Yun, S
Part of Term:
1
Date Range:
01/18/22-05/04/22
Credit:
3 hours
Section Info:
For Statistics course registration information: go.illinois.edu/StatisticsRegistration.
Restriction(s):
Restricted to Undergrad - Urbana-Champaign.
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