Course Code

DSC 562

Course Title

Applied Multivariate Methods

Course Credit

3hours

Prerequisite Course

QUA 501

Course Level

Level 2/3/4 (second year in the CBA)

Course Description

This course provides a comprehensive survey of the multivariate normal distribution and related distributions, including Hotelling T2 and Wishart distribution and their use illustrated in statistical estimation and hypothesis testing in multivariate normal models. Additional topics introduced and applied include multivariate analysis of variance and covariance, canonical correlation, principal component analysis, factor analysis, discriminate analysis, and cluster analysis

Course Material

Reading Recommendation

-Applied Multivariate Statistical Analysis, 6/E by Richard A. Johnson and Dean W. Wichern. Publisher: Prentice Hall. 

-Practical Multivariate Analysis, 5/E by Abdelmonem Afifi, Susanne May and Virginaia A. Clark. CRC Press.

-Methods of Multivariate Analysis, 3/E by Alvin C. Rencher and William F. Christensen. Wiley.

-Business Research Methods, by Nandagopal R, Arul Rajan K and Vivek N. Excel Books.

-Marketing Research – Text and Cases, by Nargundkar R. McGraw Hill.

-SPSS for Windows – Analysis without Anguish, by Sheridan J Coakes, Lyndall Steed and Peta Dzidic. Wiley.

-IBM SPSS for Intermediate Statistics, 5/E by Nancy L.Leech, Karen C.Barrett and George A. Morgan. Routledge (Taylor & Francis Group).

-IBM SPSS 19 Statistics Made simple, by Colin D. Gray and Paul R. Kinner. Psychology Press (Taylor & Francis Group)

Coarse Language

English