Multivariate: Theory and Methods Credit Hours: 3 hours An introduction to the theory and methodology of multivariate statistics for students with training in linear models and mathematical statistics. Topics include the multivariate normal distribution, one and two population inference on population mean vectors, MANOVA, principal component analysis, factor analysis, discrimination, classification, and canonical correlation. Prerequisites: STAT 6420 and STAT 4520/6520 Semester Offered: Spring Level: Graduate
