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- Q7278080 subject Q7849419.
- Q7278080 subject Q8425180.
- Q7278080 abstract "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 analysiscanonical correlation analysismultivariate regressionstatistical 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.".
- Q7278080 wikiPageWikiLink Q1004354.
- Q7278080 wikiPageWikiLink Q1136628.
- Q7278080 wikiPageWikiLink Q115542.
- Q7278080 wikiPageWikiLink Q1228929.
- Q7278080 wikiPageWikiLink Q1744628.
- Q7278080 wikiPageWikiLink Q176623.
- Q7278080 wikiPageWikiLink Q1952580.
- Q7278080 wikiPageWikiLink Q208042.
- Q7278080 wikiPageWikiLink Q2873.
- Q7278080 wikiPageWikiLink Q44337.
- Q7278080 wikiPageWikiLink Q5160994.
- Q7278080 wikiPageWikiLink Q5282862.
- Q7278080 wikiPageWikiLink Q7849419.
- Q7278080 wikiPageWikiLink Q8425180.
- Q7278080 comment "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.".
- Q7278080 label "RV coefficient".