PrincipalComponents[matrix] transforms elements of matrix into unscaled principal components.

Descriptive statistics refers to properties of distributions, such as location, dispersion, and shape. The functions described here compute descriptive statistics of lists of ...

RSquared

FittedModel[...] represents the symbolic fitted model obtained from functions like LinearModelFit.

Mathematica's descriptive statistics functions operate both on explicit data and on symbolic representations of statistical distributions. When operating on explicit data, ...

Version 6.0 introduced integrated highly efficient support for a wide range of statistical functions and operations, both on explicit data and on symbolic representations of ...

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

Suppose that you have a limited amount of data from which to obtain estimates of statistics for a population. The sampling distribution for those estimates can be ...

Distributions defined in this package are included in the newly created Multivariate Statistics Package. Random and RandomArray are replaced by RandomInteger. ...

Distributions defined in this package are included in the newly created Multivariate Statistics Package. Random and RandomArray are replaced by RandomReal. CovarianceMatrix ...