We consider a competing risks model, in which system failures are due to one out of two mutually exclusive causes, formulated within the framework of shock models driven by bivariate Poisson process. We obtain the failure densities and the survival functions as well as other related quantities under three different schemes. Namely, system failures are assumed to occur at the first instant in which a random constant threshold is reached by (a) the sum of received shocks, (b) the minimum of shocks, (c) the maximum of shocks
A bivariate Poisson shock model resulting from two devices receiving shocks from two independent sou...
We study three classes of shock models governed by an inverse gamma mixed Poisson process (IGMP), na...
If something can fail, it can often fail in one of several ways and sometimes in more than one way a...
We consider a competing risks model, in which system failures are due to one out of two mutually e...
We consider a competing risks model, in which system failures are due to one out of two mutually e...
We consider a competing risks model, in which system failures are due to one out of two mutually e...
We consider a competing risks model, in which system failures are due to one out of two mutually exc...
We consider a competing risks model, in which system failures are due to one out of two mutually exc...
We consider a competing risks model, in which system failures are due to one out of two mutually exc...
We propose a stochastic model for the failure times of items subject to two external random shocks o...
We propose a stochastic model for the failure times of items subject to two external random shocks o...
In the competing risks model, a unit is exposed to several risks at the same time, but it is assumed...
International audienceIn this paper, we develop a new reliability model for dependent competing fail...
International audienceIn this paper, we develop a new reliability model for dependent competing fail...
Competing risks data usually arises in studies in which the failure of an individual may be classifi...
A bivariate Poisson shock model resulting from two devices receiving shocks from two independent sou...
We study three classes of shock models governed by an inverse gamma mixed Poisson process (IGMP), na...
If something can fail, it can often fail in one of several ways and sometimes in more than one way a...
We consider a competing risks model, in which system failures are due to one out of two mutually e...
We consider a competing risks model, in which system failures are due to one out of two mutually e...
We consider a competing risks model, in which system failures are due to one out of two mutually e...
We consider a competing risks model, in which system failures are due to one out of two mutually exc...
We consider a competing risks model, in which system failures are due to one out of two mutually exc...
We consider a competing risks model, in which system failures are due to one out of two mutually exc...
We propose a stochastic model for the failure times of items subject to two external random shocks o...
We propose a stochastic model for the failure times of items subject to two external random shocks o...
In the competing risks model, a unit is exposed to several risks at the same time, but it is assumed...
International audienceIn this paper, we develop a new reliability model for dependent competing fail...
International audienceIn this paper, we develop a new reliability model for dependent competing fail...
Competing risks data usually arises in studies in which the failure of an individual may be classifi...
A bivariate Poisson shock model resulting from two devices receiving shocks from two independent sou...
We study three classes of shock models governed by an inverse gamma mixed Poisson process (IGMP), na...
If something can fail, it can often fail in one of several ways and sometimes in more than one way a...