NProbability (Built-in Mathematica Symbol)

NProbability[pred, x \[Distributed] dist] gives the numerical probability for an event that satisfies the predicate pred under the assumption that x follows the probability ...

Continuous Distributions (Mathematica Tutorial)

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

HoytDistribution (Built-in Mathematica Symbol)

HoytDistribution[q, \[Omega]] represents a Hoyt distribution with shape parameter q and spread parameter \[Omega].

LogisticDistribution (Built-in Mathematica Symbol)

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

LandauDistribution (Built-in Mathematica Symbol)

LandauDistribution[\[Mu], \[Sigma]] represents a Landau distribution with location parameter \[Mu] and scale parameter \[Sigma].

ChiDistribution (Built-in Mathematica Symbol)

ChiDistribution[\[Nu]] represents a \[Chi] distribution with \[Nu] degrees of freedom.

ExponentialPowerDistribution (Built-in Mathematica Symbol)

ExponentialPowerDistribution[\[Kappa], \[Mu], \[Sigma]] represents an exponential power distribution with shape parameter \[Kappa], location parameter \[Mu], and scale ...

HalfNormalDistribution (Built-in Mathematica Symbol)

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

BetaNegativeBinomialDistribution (Built-in Mathematica Symbol)

BetaNegativeBinomialDistribution[\[Alpha], \[Beta], n] represents a beta negative binomial mixture distribution with beta distribution parameters \[Alpha] and \[Beta], and n ...

CauchyDistribution (Built-in Mathematica Symbol)

CauchyDistribution[a, b] represents a Cauchy distribution with location parameter a and scale parameter b.