Abstract

Abstract In the present paper we consider ageing properties in a deterioration model in which the stochastic process measuring deterioration is a process with independent increments. Preservation of increasing and decreasing failure rates, as well as decreasing reversed hazard rate, is considered. We also take into account the preservation of log-concave and log-convex densities. Our main results are based on technical results concerning preservation of log-concave and log-convex functions by positive linear operators, and they include the study of stochastic ordering properties among the random variables in the process. MSC:60G51, 60E15, 60K10, 26A51.

Highlights

  • Deterioration models belong to the topics of interest in reliability theory

  • The so-called shock models are appropriate if deterioration is caused due to external shocks occurring at certain instants in time

  • Our aim in this paper is to address this question for processes with independent increments, including Lévy processes

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Summary

Introduction

Deterioration models belong to the topics of interest in reliability theory. They aim to describe how a mechanism deteriorates with age. If FY is log-concave, the random variable is said to be increasing failure rate (IFR), whereas if it is log-convex, we have the decreasing failure rate property (DFR). We use the representation given in ( ) and apply techniques based on the preservation of log-convexity and log-concavity by positive linear operators (see [ , ]) These techniques involve the study of stochastic order properties of the random variables in the process. ) that for a given process (X(t), t ≥ ) in the IPSI class, the time-transformed process (X(a (t)), t ≥ ), with a being an increasing and convex function, belongs to the IPII class, whereas if a is increasing and concave, the process belongs to the IPDI class We will use this fact in order to obtain results concerning non-homogeneous Poisson processes J∗ := {t ≥ | P(X(t) ∈ J) > } is an interval

Proof To show the assertion we will prove that
We have
Xi is a compound
Note that
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