STAT 535 - Data Analysis and Modeling

Institution:

University of Michigan-Dearborn

Subject:

Statistics

Description:

Linear models including models with factors associated with both fixed and random effects together with covariates. Models containing more complex covariance structure including repeated measures and time dependence. The statistical processing package SAS will be used extensively to analyze data associated with such models. The SAS procedures Proc GLM, Proc REG, and Proc Mixed will be used extensively in examples, assignments, and projects. (OC).

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.umd.umich.edu/

Phone Number:

(313) 593-5000

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Semester

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