FMST 602 - Statistics II

Institution:

University of Southern California

Subject:

Description:

Broad introduction using linear (matrix) algebra to maximize likelihood estimation generally, using several important multivariate statistical techniques, including but not limited to multivariate analysis of variance, multivariate regression, path analysis and structural equations causal modeling, log-linear models, and time series analysis; alternatives to maximum likelihood estimation are also evaluated. Prerequisite: MFTH 601 or FMST 601. Cross-listing: MFTH 602.

Credits:

4.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.usc.edu/

Phone Number:

(213) 740-2311

Regional Accreditation:

Western Association of Schools and Colleges

Calendar System:

Semester

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