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On the Time-Dependent Delta-Shock Model Governed by the Generalized PoLya Process
Dheeraj Goyal, , Maxim Finkelstein
Published in SPRINGER
Abstract
One of the widely discussed in the literature and relevant in practice shock models is the delta-shock model that is described by the constant time of a system's recovery after a shock. However, in practice, as time progresses and due to deterioration of a system, this recovery time is gradually increasing. This important phenomenon was not discussed in the literature so far. Therefore, in this paper, we are considering a time-dependent delta-shock model, i.e., the recovery time becomes an increasing function of time. Moreover, we assume that shocks occur according to the generalized Polya process that contains the homogeneous Poisson process, the non-homogeneous Poisson process and the Polya process as particular cases. For the defined survival model, we derive the corresponding survival function and the mean lifetime and study the related optimal replacement policy along with some relevant stochastic properties.
About the journal
JournalData powered by TypesetMETHODOLOGY AND COMPUTING IN APPLIED PROBABILITY
PublisherData powered by TypesetSPRINGER
ISSN1387-5841