Course Details

STA 4702: Multivariate Statistical Methods

College of Arts and Sciences | Department of Mathematics and Statistics

Description:	This course covers the fundamental concepts of multivariate analysis. Topics to be covered include Matrix theory and distributions (normal, t, chi-squared, F), inference about multivariate means and inference about covariance structure.
Credit Hours:	3
Prerequisites:	STA 4321 (min grade C) AND [(MAS 3114 OR MAS 3105) (min grade C)]
Corequisites:
Co-Prerequisites:
Course Requirements:
Other Information: