Correlation[v_1, v_2] gives the correlation between the vectors v_1 and v_2.Correlation[m] gives the correlation matrix for the matrix m.Correlation[m_1, m_2] gives the ...

CorrelationDistance[u, v] gives the correlation coefficient distance between vectors u and v.

ListCorrelate[ker, list] forms the correlation of the kernel ker with list. ListCorrelate[ker, list, k] forms the cyclic correlation in which the k \[Null]^th element of ker ...

Convolution and correlation are central to many kinds of operations on lists of data. They are used in such areas as signal and image processing, statistical data analysis, ...

KendallRankCorrelation[xlist, ylist] gives Kendall's rank correlation coefficient \[Tau] for the real-valued vectors xlist and ylist.

SpearmanRankCorrelation[xlist, ylist] gives Spearman's rank correlation coefficient \[Rho] for the real-valued vectors xlist and ylist.

ImageCooccurrence[image, n] gives the n*n cooccurrence matrix for image.ImageCooccurrence[image, n, ker] computes a cooccurrence matrix for arbitrary spatial relationships ...

A variety of moments or combinations of moments are used to summarize a distribution or data. Mean is used to indicate a center location, variance and standard deviation are ...

ImageCorrelate[image, ker] gives the correlation of image with kernel ker.ImageCorrelate[image, ker, f] computes a generalized correlation in which the function f is used in ...

Univariate descriptive statistics have been added to the built-in Mathematica kernel. Multivariate functionality from this package is included in the newly created ...