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

The symbolic architecture of Mathematica notebooks allows immediate interoperability with a wide range of document, web, graphics and other formats. Mathematica automatically ...

Mathematica can automatically create sophisticated web content, with cascading styles, templating and many options. Its symbolic architecture allows arbitrary web structures ...

SmoothKernelDistribution[{x_1, x_2, ...}] represents a smooth kernel distribution based on the data values x_i.SmoothKernelDistribution[{{x_1, y_1, ...}, {x_2, y_2, ...}, ...

ExtremeValueDistribution[\[Alpha], \[Beta]] represents an extreme value distribution with location parameter \[Alpha] and scale parameter \[Beta].

HalfNormalDistribution[\[Theta]] represents a half-normal distribution with scale inversely proportional to parameter \[Theta].

LogisticDistribution[\[Mu], \[Beta]] represents a logistic distribution with mean \[Mu] and scale parameter \[Beta].

WaringYuleDistribution[\[Alpha]] represents the Yule distribution with shape parameter \[Alpha].WaringYuleDistribution[\[Alpha], \[Beta]] represents the Waring distribution ...

MixtureDistribution[{w_1, ..., w_n}, {dist_1, ..., dist_n}] represents a mixture distribution whose CDF is given as a sum of the CDFs of the component distributions dist_i, ...

WalleniusHypergeometricDistribution[n, n_succ, n_tot, w] represents a Wallenius noncentral hypergeometric distribution.