BenfordDistribution[b] represents a Benford distribution with base parameter b.

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 ...

Mathematica integrates many aspects of statistical data analysis, from getting and exploring data to building high-quality models and and deducing consequences. Mathematica ...

RandomInteger[{i_min, i_max}] gives a pseudorandom integer in the range {i_min, i_max}. RandomInteger[i_max] gives a pseudorandom integer in the range {0, ...

The ability to generate pseudorandom numbers is important for simulating events, estimating probabilities and other quantities, making randomized assignments or selections, ...

GeometricDistribution[p] represents a geometric distribution with probability parameter p.

The functions described here are among the most commonly used discrete univariate statistical distributions. You can compute their densities, means, variances, and other ...

WalleniusHypergeometricDistribution[n, n_succ, n_tot, w] represents a Wallenius noncentral hypergeometric 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 ...

MaxExtraBandwidths is an option to SmoothKernelDistribution that controls the behavior outside that data range.