| Course Catalog Entry |
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| Course ID: |
MATH 668 |
| Effective Date: |
03/01/2014 |
| Title: |
Linear Statistical Modeling |
| Career: |
Graduate |
| Credit Hours: |
3.00 |
| Description: |
Prerequisite: MATH 667 or consent of department.
This course covers linear and related models including a discussion of fixed, mixed, and random effects models as well as regression and ANOVA models. The discussion will include estimation, hypothesis testing, confidence intervals, model fitting, and model diagnostics. Violations of the assumptions of the linear model will be examined. Statistical software will be used frequently. A strong background in linear algebra is needed. |
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