IJPAM: Volume 98, No. 1 (2015)
AND OF ERLANG DISTRIBUTIONS



Faculty of Sciences
Beirut Arab University
Beirut, LEBANON

Faculty of Sciences
Lebanese University
Zahle, LEBANON
Abstract. The sum of random variables are of interest in
many areas of the sciences. In teletraffic analysis, the sum of
Hyperexponential distribution is used as a model for the holding time
distribution. Many authors examined this model and discussed its probability
density function. In this paper, we consider the sum of independent
Hyper-Erlang distributions. We showed that the probability density function
of this distribution is related to probability density function of the sum
of independent Erlang distributions- the Hypoexponential distribution. As a
consequence, we find an exact closed expressions for the probability density
function of both distribution, which are related to the Kummer confluent
hypergeometric function.
Received: August 29, 2014
AMS Subject Classification: 62E15, 60E10, 60E05
Key Words and Phrases: convolution distribution, hyper-Erlang distribution, hypoexponential distribution, Erlang distribution, probability density, Bessel functions, confluent hypergeometric function
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DOI: 10.12732/ijpam.v98i1.8 How to cite this paper?
Source: International Journal of Pure and Applied Mathematics
ISSN printed version: 1311-8080
ISSN on-line version: 1314-3395
Year: 2015
Volume: 98
Issue: 1
Pages: 81 - 98
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This work is licensed under the Creative Commons Attribution International License (CC BY).