Themes:
1- Introduction and classification of multivariate analysis techniques
2- ANOVA and MANOVA
3- Principal Components Factor analysis
4- Correspondence factor analysis
5- Discriminant Analysis
6- Cluster Analysis
7- Structural Equation Models
References:
- Hair, J.F.; Black, W.C.; Babin, B.J. and R.E. Anderson(2010), Multivariate Data Analysis. Prentice Hall (7th edition).
