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 ...
Huge numerical datasets are routine for Mathematica. Its powerful array primitives make large-scale array manipulation both easy to specify and highly efficient. And its ...
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 ...
Functionality in this package has been added to the built-in Mathematica kernel or incorporated into newly created packages. CDF, PDF and CharacteristicFunction are built ...
Mathematica integrates many aspects of statistical data analysis, from getting and exploring data to building high-quality models and and deducing consequences. Mathematica ...
ZTest
(Built-in Mathematica Symbol) ZTest[data] tests whether the mean of the data is zero. ZTest[{data_1, data_2}] tests whether the means of data_1 and data_2 are equal.ZTest[dspec, \[Sigma]] tests for zero ...
Mathematica provides powerful functions to compute state-feedback and estimator gains using pole-placement or optimal techniques. In addition, it has functions that directly ...
GeneralizedVariance[matrix] gives the generalized variance for matrix.
PrincipalComponents[matrix] transforms elements of matrix into unscaled principal components.