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- Title
Competing risks and shock models governed by a generalized bivariate Poisson process.
- Authors
Di Crescenzo, Antonio; Meoli, Alessandra
- Abstract
We propose a stochastic model for the failure times of items subject to two external random shocks occurring as events in an underlying bivariate counting process. This is a special formulation of the competing risks model, which is of interest in reliability theory and survival analysis. Specifically, we assume that a system, or an item, fails when the sum of the two types of shock reaches a critical random threshold. In detail, the two kinds of shock occur according to a bivariate space-fractional Poisson process, which is a two-dimensional vector of independent homogeneous Poisson processes time-changed by an independent stable subordinator. Various results are given, such as analytic hazard rates, failure densities, the probability that the failure occurs due to a specific type of shock, and the survival function. Some special cases and ageing notions related to the NBU characterization are also considered. In this way we generalize certain results in the literature, which can be recovered when the underlying process reduces to the homogeneous Poisson process.
- Subjects
COMPETING risks; ENGINEERING reliability theory; SURVIVAL analysis (Biometry); STOCHASTIC models
- Publication
Journal of Applied Probability, 2023, Vol 60, Issue 2, p709
- ISSN
0021-9002
- Publication type
Article
- DOI
10.1017/jpr.2022.80