Covariance and correlation

RV coefficient

In statistics, the RV coefficientis a multivariate generalization of the squared Pearson correlation coefficient (because the RV coefficient takes values between 0 and 1). It measures the closeness of two set of points that may each be represented in a matrix. The major approaches within statistical multivariate data analysis can all be brought into a common framework in which the RV coefficient is maximised subject to relevant constraints. Specifically, these statistical methodologies include: * principal component analysis * canonical correlation analysis * multivariate regression * statistical classification (linear discrimination). One application of the RV coefficient is in functional neuroimaging where it can measure the similarity between two subjects' series of brain scansor between different scans of a same subject. (Wikipedia).

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Related pages

Distance correlation | Congruence coefficient | Multivariate statistics | Statistical classification | Linear discriminant analysis | Regression analysis | Pearson correlation coefficient | Matrix (mathematics) | Principal component analysis