The aims of this course are:
(1) To illustrate extensions of univariate statistical methodology to multivariate data.
(2) To introduce students to some of the distinctive statistical methodologies which arise only in multivariate data.
(3) To introduce students to some of the computational techniques required for multivariate analysis available in standard statistical packages.
Topics include: multivariate techniques and analyses, multivariate analysis of variance, principal component analysis and factor analysis, cluster analysis, discrimination and classification.
課程用書：Johnson, R.A. and Wichern, D.W., 2007. Applied Multivariate Statistical Analysis (6th Edition). Prentice Hall, Upper Saddle River, NJ.