A generalized bivariate exponential distribution

Author:

Marshall Albert W.,Olkin Ingram

Abstract

In a previous paper (Marshall and Olkin (1966)) the authors have derived a multivariate exponential distribution from points of view designed to indicate the applicability of the distribution. Two of these derivations are based on “shock models” and one is based on the requirement that residual life is independent of age.The practical importance of the univariate exponential distribution is partially due to the fact that it governs waiting times in a Poisson process. In this paper, the distribution of joint waiting times in a bivariate Poisson process is investigated. There are several ways to define “joint waiting time”. Some of these lead to the bivariate exponential distribution previously obtained by the authors, but others lead to a generalization of it. This generalized bivariate exponential distribution is also derived from shock models. The moment generating function and other properties of the distribution are investigated.

Publisher

Cambridge University Press (CUP)

Subject

Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability

Reference6 articles.

1. On multiple integration by parts and the second theorem of the mean;Young;Proc. London Math. Soc.,1917

2. A Multivariate Exponential Distribution

3. On Infinitely Divisible Random Vectors

4. The Poisson Correlation Function

5. On the multivariate Poisson distribution;Teicher;Skand. Aktuarietidskr.,1954

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