STAT 713 - Applied Linear Statistical Models

Institution:

Kansas State University

Subject:

Statistics

Description:

Matrix-based regression and analysis of variance procedures at a mathematical level appropriate for a first-year graduate statistics major. Topics include simple linear regression, linear models in matrix form, multiple linear regression, model building and diagnostics, analysis of covariance, multiple comparison methods, contrasts, multifactor studies, blocking, subsampling, and split-plot designs.

Credits:

4.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.k-state.edu

Phone Number:

(785) 532-6011

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Semester

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