In statistics, the Kendall rank correlation coefficient, commonly referred to as Kendall's τ coefficient (after the Greek letter τ, tau), is a statistic...

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 are...

A correlation coefficient is a numerical measure of some type of linear correlation, meaning a statistical relationship between two variables. The variables...

concordant pairs minus the number of discordant pairs (see Kendall tau rank correlation coefficient). The sum ∑ a i j 2 {\displaystyle \sum a_{ij}^{2}} is...

\end{aligned}}} Rank correlation coefficients, such as Spearman's rank correlation coefficient and Kendall's rank correlation coefficient (τ) measure the...

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

between the rankings of athletes in two tournaments. And the Kendall rank correlation coefficient is another approach. Alternatively, intersection/overlap-based...

Kendall's W (also known as Kendall's coefficient of concordance) is a non-parametric statistic for rank correlation. It is a normalization of the statistic...

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)...

{\displaystyle K_{d}} ) must not be confused with the Kendall tau rank correlation coefficient ( K c {\displaystyle K_{c}} )  used in statistics. They...

done by non-parametric methods, e.g. Mann-Kendall test, which is a version of Kendall rank correlation coefficient. Smoothing can also be used for testing...

The Kendalls, a former American country music duo Kendall 32, a fiberglass cruising boat of the late 1960s Kendall tau rank correlation coefficient, developed...

Maurice George Kendall, FBA (6 September 1907 – 29 March 1983) was a prominent British statistician. The Kendall tau rank correlation is named after him...

value of Y. The Kendall tau distance between two series is the total number of discordant pairs. The Kendall tau rank correlation coefficient, which measures...

and alternative measures such as the intraclass correlation coefficient are recommended. The coefficient of variation fulfills the requirements for a measure...

statistical procedures. For example, it is equivalent to Kendall's tau correlation coefficient if one of the variables is binary (that is, it can only...

normalize the autocovariance function to get a time-dependent Pearson correlation coefficient. However, in other disciplines (e.g. engineering) the normalization...

between the two permutations (a non-normalized version of the Kendall rank correlation coefficient), and E {\displaystyle E} is the minimum number of two-element...

numerical relationship between two variables of interest, using their correlation coefficient will give misleading results if there is another confounding variable...

tetrachoric correlation coefficient but it is only applicable to 2 × 2 tables. Polychoric correlation is an extension of the tetrachoric correlation to tables...

is similar to rank correlation coefficients like Spearman's rank correlation coefficient and the Kendall rank correlation coefficient but also explicitly...

Pearson correlation coefficient. However, in other disciplines (e.g. engineering) the normalization is usually dropped and the terms "cross-correlation" and...

size for the signed-rank test, one can use the rank-biserial correlation. If the test statistic T is reported, the rank correlation r is equal to the test...

The Kendall test may refer to: Kendall tau rank correlation coefficient, also called the Kendall tau test A test of the strength of the abdominal muscles...

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

pi and Fleiss' kappa; or inter-rater correlation, concordance correlation coefficient, intra-class correlation, and Krippendorff's alpha. There are several...

as stochastic series Pearson product-moment correlation coefficient Spearman's rank correlation coefficient Data interpreted as a probability distribution...

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

variances that are in common for the two random variables. The correlation coefficient normalizes the covariance by dividing by the geometric mean of...

contrast, the marginal effect of xj on y can be assessed using a correlation coefficient or simple linear regression model relating only xj to y; this effect...