Bivariate Tempered Space-Fractional Poisson Process and Shock Models

Fuente: arXiv
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Main Authors: Soni, Ritik, Pathak, Ashok Kumar, Di Crescenzo, Antonio, Meoli, Alessandra
Format: Preprint
Published: 2023
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_version_ 1866916487435911168
author Soni, Ritik
Pathak, Ashok Kumar
Di Crescenzo, Antonio
Meoli, Alessandra
author_facet Soni, Ritik
Pathak, Ashok Kumar
Di Crescenzo, Antonio
Meoli, Alessandra
contents In this paper, we introduce a bivariate tempered space-fractional Poisson process (BTSFPP) by time-changing the bivariate Poisson process with an independent tempered $α$-stable subordinator. We study its distributional properties and its connection to differential equations. The Lévy measure for the BTSFPP is also derived. A bivariate competing risks and shock model based on the BTSFPP for predicting the failure times of the items that undergo two random shocks is also explored. The system is supposed to break when the sum of two types of shocks reaches a certain random threshold. Various results related to reliability such as reliability function, hazard rates, failure density, and the probability that the failure occurs due to a certain type of shock are studied. We show that for a general Lévy subordinator, the failure time of the system is exponentially distributed with mean depending on the Laplace exponent of the Lévy subordinator when the threshold has geometric distribution. Some special cases and several typical examples are also demonstrated.
format Preprint
id arxiv_https___arxiv_org_abs_2309_10566
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Bivariate Tempered Space-Fractional Poisson Process and Shock Models
Soni, Ritik
Pathak, Ashok Kumar
Di Crescenzo, Antonio
Meoli, Alessandra
Probability
60G22, 60G51, 60G55, 60E05, 60K10, 62N05
In this paper, we introduce a bivariate tempered space-fractional Poisson process (BTSFPP) by time-changing the bivariate Poisson process with an independent tempered $α$-stable subordinator. We study its distributional properties and its connection to differential equations. The Lévy measure for the BTSFPP is also derived. A bivariate competing risks and shock model based on the BTSFPP for predicting the failure times of the items that undergo two random shocks is also explored. The system is supposed to break when the sum of two types of shocks reaches a certain random threshold. Various results related to reliability such as reliability function, hazard rates, failure density, and the probability that the failure occurs due to a certain type of shock are studied. We show that for a general Lévy subordinator, the failure time of the system is exponentially distributed with mean depending on the Laplace exponent of the Lévy subordinator when the threshold has geometric distribution. Some special cases and several typical examples are also demonstrated.
title Bivariate Tempered Space-Fractional Poisson Process and Shock Models
topic Probability
60G22, 60G51, 60G55, 60E05, 60K10, 62N05
url https://arxiv.org/abs/2309.10566