1016-581 - Introduction to Linear Models

Institution:

Rochester Institute of Technology

Subject:

Description:

This course is an introduction to the theory of linear models. Least squares estimators and their properties; matrix formulation of linear regression theory; random vectors and random matrices; the normal distribution model and the Gauss-Markov theorem; variability and sums of squares; distribution theory; the general linear hypothesis test; confi dence intervals; confi dence regions; correlations among regressor variables; ANOVA models; geometric aspects of linear regression; and less than full rank models are introduced. (1016-331, 1016-354) Class 4, Credit 4 (offered upon suffi cient request)

Credits:

4.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.rit.edu/

Phone Number:

(585) 475-2411

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Quarter

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