STAT 618 - Applied Multi-Variate Methods

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Multiple regression, partial and multiple correlation, multi-variate normal distribution, statistical inference for the mean vector and co-variance matrix, uni-variate and multi-variate analysis of variance, principal components, canonical correlation, discriminant analysis, factor analysis and cluster analysis. The methods will be illustrated using real data with the help of statistical packages.
Prerequisite: Prerequisite: STAT 453 or consent of instructor.