In probability theory and statistics, partial correlation measures the degree of association between two random variables, with the effect of a set of...

In statistics, the Pearson correlation coefficient (PCC) is a correlation coefficient that measures linear correlation between two sets of data. It is...

values and the values expected under the model Multiple correlation Partial correlation Correlation coefficient: A statistic used to show how the scores...

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...

In statistics, Spearman's rank correlation coefficient or Spearman's ρ, named after Charles Spearman and often denoted by the Greek letter ρ {\displaystyle...

In statistics, correlation or dependence is any statistical relationship, whether causal or not, between two random variables or bivariate data. Although...

that there are large partial correlations compared to the sum of correlations. In other words, there are widespread correlations which would be a large...

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...

In time series analysis, the partial autocorrelation function (PACF) gives the partial correlation of a stationary time series with its own lagged values...

"remarkable" correlations of the correlation matrix, by a solid line (positive correlation) or dotted line (negative correlation). A strong correlation is not...