Multivariate statistics  

We will cover a large fraction of the following multidimensional models: Multidimensional distributions, multiple and partial correlation. The general linear model: Estimation and testing, geometric interpretation. Regression analysis: Estimation and testing, determination of best regression equations, analysis of residuals, prediction intervals, non-linear analysis etc. Multidimensional analysis of variance. Classification: Bayesian classifiers, linear and quadratic discriminant analysis, canonical discriminant analysis. Canonical analysis: Canonical correlation, principal components, factor analysis. Correlation models: Models for random phenomena which vary in time and space. Applications of SAS or R in the above areas.
Presential
English
Multivariate statistics
English

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