In statistics, canonical-correlation analysis (CCA), also called canonical variates analysis, is a way of inferring information from cross-covariance... 23 KB (3,218 words) - 16:28, 27 March 2024 |
In statistics, the generalized canonical correlation analysis (gCCA), is a way of making sense of cross-correlation matrices between the sets of random... 2 KB (264 words) - 15:51, 7 February 2024 |
In statistics, Spearman's rank correlation coefficient or Spearman's ρ, named after Charles Spearman and often denoted by the Greek letter ρ{\displaystyle... 31 KB (3,938 words) - 03:44, 8 March 2024 |
In statistics, the Pearson correlation coefficient (PCC) is a correlation coefficient that measures linear correlation between two sets of data. It is... 56 KB (7,859 words) - 00:28, 15 February 2024 |
observed variables. Canonical correlation analysis finds linear relationships among two sets of variables; it is the generalised (i.e. canonical) version of bivariate... 17 KB (1,859 words) - 17:39, 19 February 2024 |
In signal processing, cross-correlation is a measure of similarity of two series as a function of the displacement of one relative to the other. This... 26 KB (3,848 words) - 04:13, 4 January 2024 |
Autocorrelation (redirect from Auto-correlation) Autocorrelation, sometimes known as serial correlation in the discrete time case, is the correlation of a signal with a delayed copy of itself as a function... 39 KB (5,209 words) - 07:15, 3 March 2024 |
A correlation coefficient is a numerical measure of some type of linear correlation, meaning a statistical relationship between two variables. The variables... 6 KB (665 words) - 21:58, 26 March 2024 |