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...

Autocorrelation, sometimes known as serial correlation in the discrete time case, measures the correlation of a signal with a delayed copy of itself....

In statistics, Spearman's rank correlation coefficient or Spearman's ρ is a number ranging from -1 to 1 that indicates how strongly two sets of ranks...

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

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...

of correlation matrices. In other words, partial correlation vines provide an algebraically independent parametrization of the set of correlation matrices...

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

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...

method for modified geometry of Macpherson suspension based on Pearson Correlation Coefficient". Vehicle System Dynamics. 55 (6): 827–852. Bibcode:2017VSD...

Square Deviation (RMSD). While many natural processes indeed show a correlation between the average value and the amount of variation around it, accurate...

two binary variables. In machine learning, it is known as the Matthews correlation coefficient (MCC) and used as a measure of the quality of binary (two-class)...

prediction from the real class) and their geometric mean is the Matthews correlation coefficient.[citation needed] Whereas ROC AUC varies between 0 and 1...

parameters Coefficient of variation Cumulant Deviation (statistics) Distance correlation Distance standard deviation Error bar Geometric standard deviation Mahalanobis...

such procedures is linear regression based on polychoric correlation (or polyserial correlations) between the categorical variables. Such procedures differ...

to use an all positive correlations (APC) arrangement of the strongly correlated variables under which pairwise correlations among these variables are...

its associated items are partialed out. Thereafter, the average squared off-diagonal correlation for the subsequent correlation matrix is then computed...

the average correlation remains constant or converges too. So for the variance of the mean of standardized variables with equal correlations or converging...

exist. The null hypothesis is typically that some parameter (such as a correlation or a difference between means) in the populations of interest is zero...

t_{\text{score}}={\frac {r{\sqrt {n-2}}}{\sqrt {1-r^{2}}}},} where r is the Pearson correlation coefficient. The tscore, intercept can be determined from the tscore...

, … , m , {\displaystyle {\frac {\partial S}{\partial \beta _{j}}}=2\sum _{i}r_{i}{\frac {\partial r_{i}}{\partial \beta _{j}}}=0,\ j=1,\ldots ,m,} and...

Chi-squared test Correlation Factor analysis Mann–Whitney U Mean square weighted deviation (MSWD) Pearson product-moment correlation coefficient Regression...

Frequency distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation Kendall's τ Spearman's ρ Scatter plot Graphics...

Frequency distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation Kendall's τ Spearman's ρ Scatter plot Graphics...

that involve comparing variances or involving R-squared (the squared correlation coefficient) Beta distribution, for a single probability (real number...

holds. The law of large numbers as well as the central limit theorem are partial solutions to a general problem: "What is the limiting behavior of Sn as...

variable is measured, a measure of statistical dependence such as a correlation coefficient A common collection of order statistics used as summary statistics...

"probability plot correlation coefficient" (PPCC plot) is the correlation coefficient between the paired sample quantiles. The closer the correlation coefficient...