Generalized Input (Mathematica Tutorial)

The fundamental paradigm of most computer languages, including Mathematica, is that input is given and processed into output. Historically, such input has consisted of ...

GammaDistribution (Built-in Mathematica Symbol)

GammaDistribution[\[Alpha], \[Beta]] represents a gamma distribution with shape parameter \[Alpha] and scale parameter \[Beta].GammaDistribution[\[Alpha], \[Beta], \[Gamma], ...

PieChart3D (Built-in Mathematica Symbol)

PieChart3D[{y_1, y_2, ...}] makes a 3D pie chart with sector angle proportional to y_1, y_2, ....PieChart3D[{..., w_i[y_i, ...], ..., w_j[y_j, ...], ...}] makes a 3D pie ...

ArrayPlot (Built-in Mathematica Symbol)

ArrayPlot[array] generates a plot in which the values in an array are shown in a discrete array of squares.

BinomialDistribution (Built-in Mathematica Symbol)

BinomialDistribution[n, p] represents a binomial distribution with n trials and success probability p.

DirichletDistribution (Built-in Mathematica Symbol)

DirichletDistribution[{\[Alpha]_1, ..., \[Alpha] k +1}] represents a Dirichlet distribution of dimension k with shape parameters \[Alpha]_i.

GompertzMakehamDistribution (Built-in Mathematica Symbol)

GompertzMakehamDistribution[\[Lambda], \[Xi]] represents a Gompertz distribution with scale parameter \[Lambda] and frailty parameter ...

LogNormalDistribution (Built-in Mathematica Symbol)

LogNormalDistribution[\[Mu], \[Sigma]] represents a lognormal distribution derived from a normal distribution with mean \[Mu] and standard deviation \[Sigma].

MaxStableDistribution (Built-in Mathematica Symbol)

MaxStableDistribution[\[Mu], \[Sigma], \[Xi]] represents a generalized maximum extreme value distribution with location parameter \[Mu], scale parameter \[Sigma], and shape ...

MinStableDistribution (Built-in Mathematica Symbol)

MinStableDistribution[\[Mu], \[Sigma], \[Xi]] represents a generalized minimum extreme value distribution with location parameter \[Mu], scale parameter \[Sigma], and shape ...