Batch Renewal Arrival Process Subject to Geometric Catastrophes

F. P. Barbhuiya (), Nitin Kumar () and U. C. Gupta ()
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F. P. Barbhuiya: Indian Institute of Technology Kharagpur
Nitin Kumar: Indian Institute of Technology Kharagpur
U. C. Gupta: Indian Institute of Technology Kharagpur

Methodology and Computing in Applied Probability, 2019, vol. 21, issue 1, 69-83

Abstract: Abstract We consider a stochastic model where a population grows in batches according to renewal arrival process. The population is prone to be affected by catastrophes which occur according to Poisson process. The catastrophe starts the destruction of the population sequentially, with one individual at a time, with probability p. This process comes to an end when the first individual survives or when the entire population is eliminated. Using supplementary variable and difference equation method we obtain explicit expressions of population size distribution in steady-state at pre-arrival and arbitrary epochs, in terms of roots of the associated characteristic equation. Besides, we prove that the distribution at pre-arrival epoch is asymptotically geometric. Based on our theoretical work we present few numerical results to demonstrate the efficiency of our methodology. We also investigate the impact of different parameters on the behavior of the model through some numerical examples.

Keywords: Asymptotic; Batch arrival; Geometric catastrophes; Population size; Renewal process; Roots; MSC 60H35; MSC 90B99 (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s11009-018-9643-2

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