KolmogorovSmirnovTest (Built-in Mathematica Symbol)

KolmogorovSmirnovTest[data] tests whether data is normally distributed using the Kolmogorov\[Dash]Smirnov test.KolmogorovSmirnovTest[data, dist] tests whether data is ...

InverseGaussianDistribution (Built-in Mathematica Symbol)

InverseGaussianDistribution[\[Mu], \[Lambda]] represents an inverse Gaussian distribution with mean \[Mu] and scale parameter \[Lambda].InverseGaussianDistribution[\[Mu], ...

CopulaDistribution (Built-in Mathematica Symbol)

CopulaDistribution[ker, {dist_1, dist_2, ...}] represents a copula distribution with kernel distribution ker and marginal distributions dist_1, dist_2, ....

WeibullDistribution (Built-in Mathematica Symbol)

WeibullDistribution[\[Alpha], \[Beta]] represents a Weibull distribution with shape parameter \[Alpha] and scale parameter \[Beta].WeibullDistribution[\[Alpha], \[Beta], ...

DiscreteUniformDistribution (Built-in Mathematica Symbol)

DiscreteUniformDistribution[{i_min, i_max}] represents a discrete uniform distribution over the integers from i_min to i_max.DiscreteUniformDistribution[{{i_min, i_max}, ...

InverseSurvivalFunction (Built-in Mathematica Symbol)

InverseSurvivalFunction[dist, q] gives the inverse of the survival function for the symbolic distribution dist as a function of the variable q.

BeckmannDistribution (Built-in Mathematica Symbol)

BeckmannDistribution[\[Mu]_1, \[Mu]_2, \[Sigma]_1, \[Sigma]_2] represents the Beckmann distribution with means \[Mu]_1 and \[Mu]_2 and standard deviations \[Sigma]_1 and ...

DagumDistribution (Built-in Mathematica Symbol)

DagumDistribution[p, a, b] represents a Dagum distribution with shape parameters p and a and scale parameter b.

Erfc (Built-in Mathematica Symbol)

Erfc[z] gives the complementary error function erfc(z).

Erf (Built-in Mathematica Symbol)

Erf[z] gives the error function erf(z). Erf[z_0, z_1] gives the generalized error function erf(z_1) - erf(z_0).