Fields in the biological, physical and social sciences frequently collect observations involved several variables. Data analysis on such cases becomes truly fascinating and challenging. Modern computer packages readily provide the techniques for complex statistical data analysis. Therefore, we integrate several aspects of computer usage into the course for illustration. This course contains an understanding of the basic knowledge and well-developed statistical theories necessary for selecting appropriate techniques in a wide variety of application environments. Some topics including principal analysis, factor analysis, canonical correlation analysis, discriminant analysis, clustering and classification analysis etc. are contained in the course.

使學生對多變量隨機變量的分佈理論，及多變量統計分析方法有深入的瞭解，並知道如何將其應用在實際問題。

1.Rencher, Alvin C. (1995) Methods of Multivariate Analysis
2.Johnson, R.A. and Wichern, D.W. (2012 )Applied Multivariate Statistical Analysis (6th Ed.)