ProductDistribution (Built-in Mathematica Symbol)

ProductDistribution[dist_1, dist_2, ...] represents the joint distribution with independent component distributions dist_1, dist_2, ....

Multivariate Statistics Package (Multivariate Statistics Package Tutorial)

This package contains descriptive statistics for multivariate data and distributions derived from the multivariate normal distribution. Distributions are represented in the ...

Multivariate Statistics Package (Multivariate Statistics Package Guide)

DispersionEstimatorFunction (Built-in Mathematica Symbol)

DispersionEstimatorFunction is an option for generalized linear model fitting functions that specifies the estimator for the dispersion parameter.

MardiaKurtosisTest (Built-in Mathematica Symbol)

MardiaKurtosisTest[data] tests whether data follows a MultinormalDistribution using the Mardia kurtosis test.MardiaKurtosisTest[data, " property"] returns the value of " ...

MardiaSkewnessTest (Built-in Mathematica Symbol)

MardiaSkewnessTest[data] tests whether data follows a MultinormalDistribution using the Mardia skewness test.MardiaSkewnessTest[data, " property"] returns the value of " ...

ShapiroWilkTest (Built-in Mathematica Symbol)

ShapiroWilkTest[data] tests whether data is normally distributed using the Shapiro\[Dash]Wilk test.ShapiroWilkTest[data, " property"] returns the value of " property".

MultinomialDistribution (Built-in Mathematica Symbol)

MultinomialDistribution[n, {p_1, p_2, ..., p_m}] represents a multinomial distribution with n trials and probabilities p_i.

MultivariateHypergeometricDistribution (Built-in Mathematica Symbol)

MultivariateHypergeometricDistribution[n, {m_1, m_2, ..., m_k}] represents a multivariate hypergeometric distribution with n draws without replacement from a collection ...

KarhunenLoeveDecomposition (Built-in Mathematica Symbol)

KarhunenLoeveDecomposition[{a_1, a_2, ...}] gives the Karhunen\[Dash]Loeve transform {b_1, b_2, ...} of the numerical arrays {a_1, a_2, ...} and the transformation matrix m, ...