Difference between revisions of "Erlang"
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− | [[ | + | [[Category:Distribution Functions]] |
− | [[Category: | + | [[Category:Continuous distributions]] |
+ | [[Category:Semi-bounded distributions]] | ||
+ | [[Category:Univariate distributions]] | ||
+ | [[Category: Distribution Variations library functions]] | ||
+ | |||
== Erlang(m, n) == | == Erlang(m, n) == | ||
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== Library == | == Library == | ||
− | Distribution Variations.ana | + | Distribution Variations library ([[media:Distribution Variations.ana|Distribution Variations.ana]]) |
+ | :Use [[File menu|File]] → '''Add Library...''' to add this library | ||
==See Also== | ==See Also== | ||
+ | * [[media:Distribution Variations.ana | Distribution Variations.ana]] | ||
* [[Gamma]] | * [[Gamma]] | ||
* [[Poisson]] | * [[Poisson]] | ||
* [[Probability Distributions]] | * [[Probability Distributions]] | ||
* [[Distribution Densities Library]] | * [[Distribution Densities Library]] |
Latest revision as of 19:24, 14 February 2025
Erlang(m, n)
The Erlang distribution is a variant of the Gamma distribution with another name that generally refers to the special case when parameter «n» is an integer, while the corresponding parameter «A» in a gamma distribution is often non-integer.
The time of arrival of the «n»'th event in a Poisson process with mean arrival of «m» follows an Erlang distribution.
Library
Distribution Variations library (Distribution Variations.ana)
- Use File → Add Library... to add this library
See Also
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