STA 135 - Multivariate Data Analysis

Institution:

University of California-Davis

Subject:

Description:

Lecture-3 hours; discussion-1 hour. Prerequisite:course 130B, and preferably course 131B. Multivariate normal distribution; Mahalanobis distance; sampling distributions of the mean vector and covariance matrix; Hotelling's T2; simultaneous inference; one-way MANOVA; discriminant analysis; principal components; canonical correlation; factor analysis. Intensive use of computer analyses and real data sets.-III. (III.)

Credits:

4.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.ucdavis.edu

Phone Number:

(530) 752-1011

Regional Accreditation:

Western Association of Schools and Colleges

Calendar System:

Quarter

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