MomentGeneratingFunction[dist, t] gives the moment generating function for the symbolic distribution dist as a function of the variable t. MomentGeneratingFunction[dist, ...
BatesDistribution[n] represents the distribution of a mean of n random variables uniformly distributed from 0 to 1.BatesDistribution[n, {min, max}] represents the ...
CauchyDistribution[a, b] represents a Cauchy distribution with location parameter a and scale parameter b.
LogGammaDistribution[\[Alpha], \[Beta], \[Mu]] represents a log-gamma distribution with shape parameters \[Alpha] and \[Beta] and location parameter \[Mu].
LaplaceDistribution[\[Mu], \[Beta]] represents a Laplace double-exponential distribution with mean \[Mu] and scale parameter \[Beta].
ExtremeValueDistribution[\[Alpha], \[Beta]] represents an extreme value distribution with location parameter \[Alpha] and scale parameter \[Beta].
LogNormalDistribution[\[Mu], \[Sigma]] represents a lognormal distribution derived from a normal distribution with mean \[Mu] and standard deviation \[Sigma].
CensoredDistribution[{x_min, x_max}, dist] represents the distribution of values that come from dist and are censored to be between x_min and ...
RayleighDistribution[\[Sigma]] represents the Rayleigh distribution with scale parameter \[Sigma].
WeibullDistribution[\[Alpha], \[Beta]] represents a Weibull distribution with shape parameter \[Alpha] and scale parameter \[Beta].WeibullDistribution[\[Alpha], \[Beta], ...