Multivariate Methods Credit Hours: 3 hours An introduction to the methodology of multivariate statistics for quantitatively-oriented students from various disciplines who have training in regression and analysis of variance. 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. Not offered on a regular basis. Prerequisites: STAT 4230/6230 or STAT 8200 or permission of department Level: Graduate
