STAT550 Multivariate Statistics. Prof. S Kim

STAT 450/550: Multivariate Statistical Analysis

*Note: Please visit this page regularly for any change and addition

Handouts

Syllabus

SAS: Getting Started

Announcement

Example SAS Codes (AMSA, Johnson and Wichern):

Note: problem numbers are from Johnson and Wichern's AMSA book

	Descriptive Statistics & example Proc IML (Table 1.2)
	Assessing Normality Assumption (Example 4.12, 4.13) HTML output
	Hotelling T-square (Table 5.1)
	Simultaneous CI and Conf Ellipse (PDF File) (Example 5.5)
	Comparing Mean Vectors from two populations (Exercise 6.19)
	Principal Components (Exercise 8.10) PDF output
	Factor Analysis (Example 9.10) PDF output
	Box-Cox transformation (example 4.16)
	Clustering (Utility data Table 12.5) PDF output

Example SAS Codes (AMMDA, Dallas Johnson)

Note: problem numbers are from Dallas Johnson's AMMDA book

	3D surface and contour plot for bivariate normal density (Macro)
	Macro for faces and stars plots (folder) (example) : the macro was found at http://www.math.yorku.ca/SCS/sasmac/faces.html.
	Andrew's plot (BIG 8 example, Prob 3.9 (a))
	(new) Normal Assessment (example normal random sample)
	Principal Components Analysis (example Proc PrinComp) (output pdf)
	Factor Analysis (ex6.2) (output pdf)
	Discrimination Analysis (two populations) example Turkey data
	Discrimination Analysis (more than two populations) example linear quadratic
	Canonical Discriminant Analysis example
	Logistic Analysis (three populations) example8.2
	Cluster Analysis example
	Multidimensional scaling example 9.5 using plotit automacro