STAT5100

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STAT5100 - Modern Regression Methods (CI/QI) - 3 - Credits

Mathematics & Statistics College of Arts & Sciences

Course Prefix

STAT

Course Number

5100

Dual-Listed Courses

-

Course Title

Modern Regression Methods (CI/QI)

General Education Attribute

CI, QI

Grade Mode

Standard Letter

Repeat Status

NR

Course Description

Students learn multiple linear regression, diagnostics for outliers and influential points, robust regression, quantile regression, collinearity, variable selection, ridge regression, the LASSO and elastic net, generalized linear models, and non-linear regression methods including generalized additive models and tree-based methods. Additional coursework is required for those enrolled in the graduate-level course.

Credit Hours Min

3