In statistics, a rank correlation is any of several statistics that measure an ordinal association—the relationship between rankings of different ordinal...

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

is a nonlinear function of the other). Other correlation coefficients – such as Spearman's rank correlation – have been developed to be more robust than...

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

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

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...

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...

Friedman test Kruskal–Wallis test Rank products Spearman's rank correlation coefficient Mann–Whitney U test Wilcoxon signed-rank test Van der Waerden test The...

rank correlation known as the rank-biserial correlation. Edward Cureton introduced and named the measure. Like other correlational measures, the rank-biserial...

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...

product-moment correlation coefficient Regression analysis Spearman's rank correlation coefficient Student's t-test Time series analysis Conjoint Analysis...

Kendall's coefficient of concordance) is a non-parametric statistic for rank correlation. It is a normalization of the statistic of the Friedman test, and can...

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

null hypothesis when it indeed should be rejected. Rank all data from all groups together; i.e., rank the data from 1 to N ignoring group membership. Assign...

variables are ordinal, meaning they are ranked in a sequence as first, second, etc., then a rank correlation coefficient can be computed. If just the...

the Pearson product-moment correlation coefficient, while a common alternative summary statistic is Spearman's rank correlation coefficient. A value of zero...

(statistics) Rank abundance curve Rank correlation mainly links to two following Spearman's rank correlation coefficient Kendall tau rank correlation coefficient...

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)...

If the states are ranked according to their per capita income as well as their per capita Plan assistance and the rank correlation coefficient is worked...

In statistics, the percentile rank (PR) of a given score is the percentage of scores in its frequency distribution that are less than that score. Its mathematical...

such that, for any two items, the first is either "ranked higher than", "ranked lower than", or "ranked equal to" the second. In mathematics, this is known...

PWS-Kent. pp. 262–74. ISBN 978-0-534-91976-4. Kendall, M. G. (1970). Rank Correlation Methods (4th ed.). London: Charles Griffin. ISBN 978-0-85264-199-6...

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

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, as a pioneer of factor analysis, and for Spearman's rank correlation coefficient. He also did seminal work on models for human intelligence...

The logrank test, or log-rank test, is a hypothesis test to compare the survival distributions of two samples. It is a nonparametric test and appropriate...

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

scores in the distribution are found. A related quantity is the percentile rank of a score, expressed in percent, which represents the fraction of scores...

one of the two variables. Spearman's rank correlation coefficient Abdi, Hervé (2007). "The Kendall Rank Correlation Coefficient". In: Neil Salkind (Ed.)...