MULTIVARIATE STATISTICS (4 Credits)

Learning Outcomes:

On successful completion of this course students will be able to: Calculate measurements of multivariate statistics methods; Apply multivariate statistics methods; Use R Software in related to the application of multivariate statistics methods.

Topics:

1. Multidimensional Scaling;
2. Inferences about A Mean Vector;
3. Comparisons of Several Multivariate Means;
4. Correspondence Analysis;
5. Discriminant Analysis;
6. Canonical Correlation;
7. Principal Component Analysis;
8. Factor Analysis;
9. Cluster Analysis;
10. Comparisons of Several Multivariate Means;
11. Canonical Correlation;
12. Principal Component Analysis;
13. Discriminant Analysis;
14. Multidimensional Scaling;
15. Correspondence Analysis.

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