EstimatedDistribution[data, dist] estimates the parametric distribution dist from data.EstimatedDistribution[data, dist, {{p, p_0}, {q, q_0}, ...}] estimates the parameters ...

Building on its broad strengths in mathematics in general, and in special functions in particular, Mathematica provides a unique level of support for analytic number theory, ...

ParameterMixtureDistribution[dist[\[Theta]], \[Theta] \[Distributed] wdist] represents a parameter mixture distribution where the parameter \[Theta] is distributed according ...

Probability and statistics are used to model uncertainty from a variety of sources, such as incomplete or simplified models. Yet you can build useful models for aggregate or ...

ExpGammaDistribution[\[Kappa], \[Theta], \[Mu]] represents an exp-gamma distribution with shape parameter \[Kappa], scale parameter \[Theta], and location parameter \[Mu].

ExponentialPowerDistribution[\[Kappa], \[Mu], \[Sigma]] represents an exponential power distribution with shape parameter \[Kappa], location parameter \[Mu], and scale ...

NakagamiDistribution[\[Mu], \[Omega]] represents a Nakagami distribution with shape parameter \[Mu] and spread parameter \[Omega].

HyperbolicDistribution[\[Alpha], \[Beta], \[Delta], \[Mu]] represents a hyperbolic distribution with location parameter \[Mu], scale parameter \[Delta], shape parameter ...

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

BirnbaumSaundersDistribution[\[Alpha], \[Lambda]] represents the Birnbaum\[Dash]Saunders distribution with shape parameter \[Alpha] and scale parameter \[Lambda].