- In statistics, the
Pearson correlation coefficient (PCC) is a
correlation coefficient that
measures linear correlation between two sets of data. It is...
- A
correlation coefficient is a
numerical measure of some type of
linear correlation,
meaning a
statistical relationship between two variables. The variables...
- In statistics, Spearman's rank
correlation coefficient or Spearman's ρ,
named after Charles Spearman and
often denoted by the Gr****
letter ρ {\displaystyle...
- In statistics, the
Kendall rank
correlation coefficient,
commonly referred to as Kendall's τ
coefficient (after the Gr****
letter τ, tau), is a statistic...
- In statistics, the
coefficient of
multiple correlation is a
measure of how well a
given variable can be
predicted using a
linear function of a set of...
-
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)...
- In statistics, the
intraclass correlation, or the
intraclass correlation coefficient (ICC), is a
descriptive statistic that can be used when quantitative...
- product-moment
correlation coefficient (PPMCC), or "Pearson's
correlation coefficient",
commonly called simply "the
correlation coefficient". It is obtained...
- program? A rank
correlation coefficient can
measure that relationship, and the
measure of
significance of the rank
correlation coefficient can show whether...
- The
point biserial correlation coefficient (rpb) is a
correlation coefficient used when one
variable (e.g. Y) is dichotomous; Y can
either be "naturally"...
