SuzukiDistribution[\[Mu], \[Nu]] represents the Suzuki distribution with shape parameters \[Mu] and \[Nu].
DiscreteUniformDistribution[{i_min, i_max}] represents a discrete uniform distribution over the integers from i_min to i_max.DiscreteUniformDistribution[{{i_min, i_max}, ...
MaxStableDistribution[\[Mu], \[Sigma], \[Xi]] represents a generalized maximum extreme value distribution with location parameter \[Mu], scale parameter \[Sigma], and shape ...
MinStableDistribution[\[Mu], \[Sigma], \[Xi]] represents a generalized minimum extreme value distribution with location parameter \[Mu], scale parameter \[Sigma], and shape ...
PDF
(Built-in Mathematica Symbol) PDF[dist, x] gives the probability density function for the symbolic distribution dist evaluated at x.PDF[dist, {x_1, x_2, ...}] gives the multivariate probability density ...
StudentTDistribution[\[Nu]] represents a Student t distribution with \[Nu] degrees of freedom.StudentTDistribution[\[Mu], \[Sigma], \[Nu]] represents a Student t distribution ...
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 ...
BeniniDistribution[\[Alpha], \[Beta], \[Sigma]] represents a Benini distribution with shape parameters \[Alpha] and \[Beta] and scale parameter \[Sigma].
BetaBinomialDistribution[\[Alpha], \[Beta], n] represents a beta binomial mixture distribution with beta distribution parameters \[Alpha] and \[Beta], and n binomial trials.