On the Sums of Compound Negative Binomial and Gamma Random Variables

Author:

Vellaisamy P.,Upadhye N. S.

Abstract

We study the convolution of compound negative binomial distributions with arbitrary parameters. The exact expression and also a random parameter representation are obtained. These results generalize some recent results in the literature. An application of these results to insurance mathematics is discussed. The sums of certain dependent compound Poisson variables are also studied. Using the connection between negative binomial and gamma distributions, we obtain a simple random parameter representation for the convolution of independent and weighted gamma variables with arbitrary parameters. Applications to the reliability ofm-out-of-n:G systems and to the shortest path problem in graph theory are also discussed.

Publisher

Cambridge University Press (CUP)

Subject

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

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Geometric sums, size biasing and zero biasing;Electronic Communications in Probability;2022-01-01

2. Time-averaged mean squared displacement ratio test for Gaussian processes with unknown diffusion coefficient;Chaos: An Interdisciplinary Journal of Nonlinear Science;2021-07

3. Density and distribution evaluation for convolution of independent gamma variables;Computational Statistics;2019-09-30

4. Mean-squared-displacement statistical test for fractional Brownian motion;Physical Review E;2017-03-07

5. An approximation to the convolution of gamma distributions;Communications in Statistics - Simulation and Computation;2016-10-21

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