ChiSquarePValue[x, df] gives the cumulative probability beyond x for the \[Chi]^2 distribution with df degrees of freedom.
FRatioPValue[x, n, m] gives the cumulative probability beyond x for the F-ratio distribution with n and m degrees of freedom.
StudentTPValue[x, df] gives the cumulative probability beyond x for Student's t distribution with df degrees of freedom.
LandauDistribution[\[Mu], \[Sigma]] represents a Landau distribution with location parameter \[Mu] and scale parameter \[Sigma].
WalleniusHypergeometricDistribution[n, n_succ, n_tot, w] represents a Wallenius noncentral hypergeometric distribution.
BetaNegativeBinomialDistribution[\[Alpha], \[Beta], n] represents a beta negative binomial mixture distribution with beta distribution parameters \[Alpha] and \[Beta], and n ...
ExpGammaDistribution[\[Kappa], \[Theta], \[Mu]] represents an exp-gamma distribution with shape parameter \[Kappa], scale parameter \[Theta], and location parameter \[Mu].
HotellingTSquareDistribution[p, m] represents Hotelling's T^2 distribution with dimensionality parameter p and m degrees of freedom.
KumaraswamyDistribution[\[Alpha], \[Beta]] represents a Kumaraswamy distribution with shape parameters \[Alpha] and \[Beta].
LogGammaDistribution[\[Alpha], \[Beta], \[Mu]] represents a log-gamma distribution with shape parameters \[Alpha] and \[Beta] and location parameter \[Mu].