Continuous probability distribution
Diagram showing queueing system equivalent of a hyper-Erlang distribution
In probability theory , a hyper-Erlang distribution is a continuous probability distribution which takes a particular Erlang distribution Ei with probability p i . A hyper-Erlang distributed random variable X has a probability density function given by
A
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E
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{\displaystyle A(x)=\sum _{i=1}^{n}p_{i}E_{l_{i}}(x)}
where each p i > 0 with the p i summing to 1 and each of the El i being an Erlang distribution with l i stages each of which has parameter λ i .[ 1] [ 2] [ 3]
Discrete univariate
with finite support with infinite support
Continuous univariate
supported on a bounded interval supported on a semi-infinite interval supported on the whole real line with support whose type varies
Mixed univariate
Multivariate (joint) Directional Degenerate and singular Families