BetaDistribution[\[Alpha], \[Beta]] represents a continuous beta distribution with shape parameters \[Alpha] and \[Beta].

Distributions defined in this package have been added to the built-in Mathematica kernel. The input syntax for UniformDistribution has changed. Random and RandomArray are ...

Bounded domain distributions naturally come up when random variables should only vary in a finite interval. Some distributions, like beta, occur in a variety of ways, ...

Mathematica's sophisticated algorithms for handling higher mathematical functions to arbitrary precision—and in symbolic form—immediately brings a new level of accuracy—and ...

KumaraswamyDistribution[\[Alpha], \[Beta]] represents a Kumaraswamy distribution with shape parameters \[Alpha] and \[Beta].

PERTDistribution[{min, max}, c] represents a PERT distribution with range min to max and mode at c. PERTDistribution[{min, max}, c, \[Lambda]] represents a modified PERT ...

Likelihood[dist, {x_1, x_2, ...}] gives the likelihood function for observations x_1, x_2, ... from the distribution dist. FLikelihood[proc, {{t_1, x_1}, {t_2, x_2}, ...}] ...

The functions described here are among the most commonly used discrete univariate statistical distributions. You can compute their densities, means, variances, and other ...

ArcSinDistribution[{x min, x max}] represents the arc sine distribution supported between x min and x max.

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 ...