PoissonDistribution[\[Mu]] represents a Poisson distribution with mean \[Mu].

Distributions defined in this package have been added to the built-in Mathematica kernel. The input syntax for DiscreteUniformDistribution has changed. Random and RandomArray ...

DistributionParameterQ[dist] yields True if dist is a valid distribution, and yields False otherwise.

Based on original algorithms developed at Wolfram Research, Mathematica's core randomness generation is both highly efficient and of exceptional quality. Mathematica can ...

PoissonConsulDistribution[\[Mu], \[Lambda]] represents a Poisson\[Dash]Consul distribution with parameters \[Mu] and \[Lambda].

Actuarial science is in some ways older than probability and statistics itself and was in many ways instrumental in the development of probability and statistics. One of the ...

Conditioned[expr, cond] or expr \[Conditioned] cond represents expr conditioned by the predicate cond.

SkellamDistribution[\[Mu]_1, \[Mu]_2] represents a Skellam distribution with shape parameters \[Mu]_1 and \[Mu]_2.

There are many types of distributions that are relevant for communication systems. In telecom, for instance, exponential and Erlang distributions modeling talk lengths are ...

Urn models have a long history, starting with Laplace suggesting in 1786 that France's population be estimated by an urn-sampling scheme. They are conceptually relatively ...