FrechetDistribution (Built-in Mathematica Symbol)

FrechetDistribution[\[Alpha], \[Beta]] represents the Frechet distribution with shape parameter \[Alpha] and scale parameter \[Beta].FrechetDistribution[\[Alpha], \[Beta], ...

InverseChiSquareDistribution (Built-in Mathematica Symbol)

InverseChiSquareDistribution[\[Nu]] represents an inverse \[Chi]^2 distribution with \[Nu] degrees of freedom.InverseChiSquareDistribution[\[Nu], \[Xi]] represents a scaled ...

LaplaceDistribution (Built-in Mathematica Symbol)

LaplaceDistribution[\[Mu], \[Beta]] represents a Laplace double-exponential distribution with mean \[Mu] and scale parameter \[Beta].

LogLogisticDistribution (Built-in Mathematica Symbol)

LogLogisticDistribution[\[Gamma], \[Sigma]] represents a log-logistic distribution with shape parameter \[Gamma] and scale parameter \[Sigma].

TriangularDistribution (Built-in Mathematica Symbol)

TriangularDistribution[{min, max}] represents a symmetric triangular statistical distribution giving values between min and max. TriangularDistribution[{min, max}, c] ...

UniformSumDistribution (Built-in Mathematica Symbol)

UniformSumDistribution[n] represents the distribution of a sum of n random variables uniformly distributed from 0 to 1.UniformSumDistribution[n, {min, max}] represents the ...

Formatted Output (Mathematica Tutorial)

Ever since Version 3 of Mathematica, there has been rich support for arbitrary mathematical typesetting and layout. Underlying all that power was a so-called box language, ...

Introduction to Control Objects (Mathematica Tutorial)

Mathematica includes many controls and structures related to controls as part of its core language. These control objects are supported in a completely seamless way ...

Dynamic (Built-in Mathematica Symbol)

Dynamic[expr] represents an object that displays as the dynamically updated current value of expr. If the displayed form of Dynamic[expr] is interactively changed or edited, ...

KernelMixtureDistribution (Built-in Mathematica Symbol)

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