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

measurement, ordinal, or categorical. The Pearson product-moment correlation coefficient, also known as r, R, or Pearson's r, is a measure of the strength and...

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

Pearson product-moment correlation coefficient (PPMCC), or "Pearson's correlation coefficient", commonly called simply "the correlation coefficient"...

model-fitting procedure. The coefficient of multiple correlation, denoted R, is a scalar that is defined as the Pearson correlation coefficient between the predicted...

correlation coefficient in its interpretation. A Pearson correlation coefficient estimated for two binary variables will return the phi coefficient. Two binary...

In statistics, the intraclass correlation, or the intraclass correlation coefficient (ICC), is a descriptive statistic that can be used when quantitative...

The point biserial correlation coefficient (rpb) is a correlation coefficient used when one variable (e.g. Y) is dichotomous; Y can either be "naturally"...

z-transformation) of a Pearson correlation coefficient is its inverse hyperbolic tangent (artanh). When the sample correlation coefficient r is near 1 or -1...

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

[the Pearson product-moment] correlation when graduated measurements have been reduced to two categories." The tetrachoric correlation coefficient should...

are included, R2 is the square of the coefficient of multiple correlation. In both such cases, the coefficient of determination normally ranges from 0...

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

to the distance correlations of many shuffles of the data. The classical measure of dependence, the Pearson correlation coefficient, is mainly sensitive...

produce the Pearson product–moment correlation coefficient (also referred to as the Pearson correlation coefficient or correlation coefficient), which is...

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

correlation coefficients are required. They provide a numerical value that reflects the strength of an association. Pearson correlation coefficient is...

In statistics, the concordance correlation coefficient measures the agreement between two variables, e.g., to evaluate reproducibility or for inter-rater...

all fathers. The Pearson correlation coefficient is the most commonly used measure of interclass correlation. The interclass correlation differs from intraclass...

statistics, the RV coefficient is a multivariate generalization of the squared Pearson correlation coefficient (because the RV coefficient takes values between...

group in South Australia Pearson (surname) Pearson correlation coefficient, a statistical measure known as Pearson's r Pearson (motorcycle), a British...

this will give the same result as the square of Pearson's correlation coefficient; otherwise the correlation ratio will be larger in magnitude. It can therefore...

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

transformation is a variance stabilizing transformation for the pearson correlation coefficient. Here, the delta method is presented in a rough way, but it...

among the various responses. While tests using the standard Pearson correlation coefficient assume normally distributed values and compare two sequences...

modeled and observed behavior in terms of three statistics: the Pearson correlation coefficient, the root-mean-square error (RMSE) error, and the standard...

{(r-1)^{2}+(\alpha -1)^{2}+(\beta -1)^{2}}}} where: r {\textstyle r} is the Pearson correlation coefficient, α {\textstyle \alpha } is a term representing the variability...

includes the Pearson correlation coefficient as a special case. Correlation may also refer to: Electronic correlation, a description of the interaction...

called the centered cosine similarity and is equivalent to the Pearson correlation coefficient. For an example of centering, if A = [ A 1 , A 2 ] T ,  then ...

program? A rank correlation coefficient can measure that relationship, and the measure of significance of the rank correlation coefficient can show whether...