The maximum distribution of Kibble's bivariate gamma random vector

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초록

Bivariate gamma distribution (BGD) can be used in hydrology, stochastic modeling and reliability theory. We derive the Laplace Stieltjes transform of the distribution of max{Y-1, Y-2} when a random vector (Y-1, Y-2) follows Kibble's BGD with integral shape parameter. This is achieved by showing that max{Y-1, Y-2} has the same distribution as the first passage time of a continuous time Markov process. (C) 2017 Elsevier B.V. All rights reserved.

키워드

Kibble's bivariate gamma distributionDownton's bivariate exponential distributionFirst passage timeCORRELATED QUEUE
제목
The maximum distribution of Kibble's bivariate gamma random vector
저자
Kim, BaraKim, Jeongsim
DOI
10.1016/j.orl.2017.06.001
발행일
2017-07
유형
Article
저널명
Operations Research Letters
45
4
페이지
392 ~ 396