Heavy tail means that there is a larger probability of getting very large values. So heavy tail distributions typically represent wild as opposed to mild randomness. An ...

$ExportFormats gives a list of export formats currently supported in your Mathematica system.

FindDistributionParameters[data, dist] finds the parameter estimates for the distribution dist from data.FindDistributionParameters[data, dist, {{p, p_0}, {q, q_0}, ...}] ...

SmoothHistogram[{x_1, x_2, ...}] plots a smooth kernel histogram of the values x_i.SmoothHistogram[{x_1, x_2, ...}, espec] plots a smooth kernel histogram with estimator ...

Probability[pred, x \[Distributed] dist] gives the probability for an event that satisfies the predicate pred under the assumption that x follows the probability distribution ...

Distributions defined in this package are included in the newly created Multivariate Statistics Package. Random and RandomArray are replaced by RandomInteger. ...

Distributions defined in this package are included in the newly created Multivariate Statistics Package. Random and RandomArray are replaced by RandomReal. CovarianceMatrix ...

Mathematica 6.0 represented a major new level in Mathematica's distinguished twenty-year history of broad cutting-edge algorithm development. Mathematica's unified ...

CDF[dist, x] gives the cumulative distribution function for the symbolic distribution dist evaluated at x.CDF[dist, {x_1, x_2, ...}] gives the multivariate cumulative ...

UniformGraphDistribution[n, m] represents a uniform graph distribution on n-vertex, m-edge graphs.