Selected topics in regression and correlation non- linear models. Multivariate statistical methods, principal components, factor analysis, multivariate analysis of variance, discriminant analysis, canonical correlation, analysis of categorical data. Prerequisite(s): STAT 3553 or (STAT 3509 and STAT 3503) or permission of the School. Also offered at the graduate level, with different requirements, as STAT 5509, for which additional credit is precluded. Lectures three hours a week.
Selected topics in regression and correlation non- linear models. Multivariate statistical methods, principal components, factor analysis, multivariate analysis of variance, discriminant analysis, canonical correlation, analysis of categorical data. Prerequisite(s): STAT 3553 or (STAT 3509 and STAT 3503) or permission of the School. Also offered at the graduate level, with different requirements, as STAT 5509, for which additional credit is precluded. Lectures three hours a week.
