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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.
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 ...
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].
Conditioned[expr, cond] or expr \[Conditioned] cond represents expr conditioned by the predicate cond.
There are many types of distributions that are relevant for communication systems. In telecom, for instance, exponential and Erlang distributions modeling talk lengths are ...
SkellamDistribution[\[Mu]_1, \[Mu]_2] represents a Skellam distribution with shape parameters \[Mu]_1 and \[Mu]_2.
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 ...
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