RandomVariate[dist] gives a pseudorandom variate from the symbolic distribution dist.RandomVariate[dist, n] gives a list of n pseudorandom variates from the symbolic ...
BarabasiAlbertGraphDistribution[n, k] represents a Barabasi\[Dash]Albert graph distribution for n-vertex graphs where a new vertex with k edges is added at each step.
FindThreshold[image] finds a global threshold value that partitions the intensity values in image into two intervals.
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 ...
LogisticDistribution[\[Mu], \[Beta]] represents a logistic distribution with mean \[Mu] and scale parameter \[Beta].
LogNormalDistribution[\[Mu], \[Sigma]] represents a lognormal distribution derived from a normal distribution with mean \[Mu] and standard deviation \[Sigma].
EstimatedDistribution[data, dist] estimates the parametric distribution dist from data.EstimatedDistribution[data, dist, {{p, p_0}, {q, q_0}, ...}] estimates the parameters ...
LindleyDistribution[\[Delta]] represents a Lindley distribution with shape parameter \[Delta].
ArcSinDistribution[{x min, x max}] represents the arc sine distribution supported between x min and x max.
ExpGammaDistribution[\[Kappa], \[Theta], \[Mu]] represents an exp-gamma distribution with shape parameter \[Kappa], scale parameter \[Theta], and location parameter \[Mu].