STAT 5100 - Modern Regression Methods

Institution:

Utah State University

Subject:

Statistics

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. Prerequisite/Restriction: C- or better in STAT 2000 or STAT 3000.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

08/15/2014 - 08/14/2019 

Institution Website:

www.usu.edu

Phone Number:

(435) 797-1000

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Semester

General Education

• CI - Communications Intensive

• QI - Quantitative Intensive

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