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  2. Hyper-Erlang distribution - Wikipedia
Hyper-Erlang distribution - Wikipedia
From Wikipedia, the free encyclopedia
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 pi. A hyper-Erlang distributed random variable X has a probability density function given by

A ( x ) = ∑ i = 1 n p i E l i ( x ) {\displaystyle A(x)=\sum _{i=1}^{n}p_{i}E_{l_{i}}(x)} {\displaystyle A(x)=\sum _{i=1}^{n}p_{i}E_{l_{i}}(x)}

where each pi > 0 with the pi summing to 1 and each of the Eli being an Erlang distribution with li stages each of which has parameter λi.[1][2][3]

See also

[edit]
  • Phase-type distribution

References

[edit]
  1. ^ Bocharov, P. P.; D'Apice, C.; Pechinkin, A. V. (2003). "2. Defining parameters of queueing systems". Queueing Theory. doi:10.1515/9783110936025.61. ISBN 9783110936025.
  2. ^ Yuguang Fang; Chlamtac, I. (1999). "Teletraffic analysis and mobility modeling of PCS networks". IEEE Transactions on Communications. 47 (7): 1062. doi:10.1109/26.774856.
  3. ^ Fang, Y. (2001). "Hyper-Erlang Distribution Model and its Application in Wireless Mobile Networks". Wireless Networks. 7 (3). Kluwer Academic Publishers: 211–219. doi:10.1023/A:1016617904269.
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