| |
Jan 28, 2025
|
|
|
|
|
MATH 5210 - Linear Models
This course is a study of the general linear statistical model and the linear hypothesis. Topics include the multivariate normal distributions of quadratic forms, and parameter estimation and hypothesis testing for full-rand regression models. Regression diagnostics and “dummy” variable coding will also be covered. Prerequisite(s): MATH 3280 and MATH 5110.
Grade Mode: Normal, Audit
Prerequisites: PREREQUISITES: MATH3280, MATH5110Pre-Req Min Grade: C, C
Credit Hours: 3Contact Hours: 3 Lecture Hours: 3
Schedule Type: Lecture, Lecture/Supervised Laboratory, Lecture/Unsupervised Lab, Seminar, Supervised Laboratory, Unsupervised Laboratory, Independent Study (Correspond)
Click here for the Schedule of Classes.
Add to Catalog Bookmarks (opens a new window)
|
|
