Math 439 - Linear Statistical Models

Institution:

Washington University in St Louis

Subject:

Description:

Introduction to statistical methods based in linear algebra. Topics include multivariate normal distributions; the distribution of quadratic forms; linear regression and ANOVAs; general linear hypotheses; principal component and linear discriminant models; multivariate linear regressions and MANOVAs; canonical correlations. If time allows, additional topics such as factor analysis; variance component and mixed models; factorial and fractional factorial models. Short computer programs are written in a language such as SAS or R. Prerequisites: Math 3200 and Math 309 (or Math 429), or permission of the instructor.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.wustl.edu

Phone Number:

(314) 935-5000

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Semester

The Course Profile information is provided and updated by third parties including the respective institutions. While the institutions are able to update their information at any time, the information is not independently validated, and no party associated with this website can accept responsibility for its accuracy.