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Multivariate Statistical Analysis (2000-2001)
Academic Year of the Course:
2000-2001
Course:
20077
Multivariate Statistical Analysis
Teaching staff:
Attilio Wedlin
Course Outlines:
The first part of this course concerns foundational issues on statistical inference, both in the bayesian and in the non-bayesian approach. The second part regards bayesian methods of inference. The third part treats various models for analyzing multivariate data: linear multiple and multivariate regressions, principal components, facior analysis and canonical correlations.
Recommended Texts:
The first part of this course concerns foundational issues on statistical inference, both in the bayesian and in the non-bayesian approach. The second part regards bayesian methods of inference. The third part treats various models for analyzing multivariate data: linear multiple and multivariate regressions, principal components, facior analysis and canonical correlations.2) S.J.Press: Applied Multivariate Analysis (Second Edition). R.E.Krieger Publishing Company, Malabar, Florida. 1982.
Last update: 12-11-2013 - 16:32