ST 552 - Linear Models and Variance Components

Institution:

North Carolina State University

Subject:

Statistics

Description:

Theory of estimation and testing in full and non-full rank linear models. Normal theory distributional properties. Least squares principle and the Gauss-Markoff theorem. Estimability and properties of best linear unbiased estimators. General linear hypothesis. Application of dummy variable methods to elementary classification models for balanced and unbalanced data. Analysis of covariance. Variance components estimation for balanced data.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.ncsu.edu

Phone Number:

(919) 515-2011

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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