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On relative aging comparisons of coherent systems with identically distributed components

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TLDR
In this article, sufficient conditions under which one coherent system ages faster than another one with respect to the aforementioned stochastic orders are given. And the proposed sufficient conditions are satisfied for k-out-of-n systems.
Abstract
The relative aging is an important notion which is useful to measure how a system ages relative to another one. Among the existing stochastic orders, there are two important orders describing the relative aging of two systems, namely, aging faster orders in the cumulative hazard and the cumulative reversed hazard rate functions. In this paper, we give some sufficient conditions under which one coherent system ages faster than another one with respect to the aforementioned stochastic orders. Further, we show that the proposed sufficient conditions are satisfied for k-out-of-n systems. Moreover, some numerical examples are given to illustrate the applications of proposed results.

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Citations
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Journal ArticleDOI

Stochastic Ageing and Dependence for Reliability

Adriana Hornikova
- 01 May 2007 - 
TL;DR: This book aims to introduce simulation techniques for practitioners in the financial and risk management industry at an intermediate level by having extensive simulation examples using S–PLUS or Visual Basics.
Journal ArticleDOI

Ordering and aging properties of systems with dependent components governed by the Archimedean copula

TL;DR: This paper considers the systems that are formed by dependent and identically distributed components, where the dependency structures are described by Archimedean copulas, and investigates whether a system of used components performs better than a used system with respect to different stochastic orders.
Journal ArticleDOI

Characterizations of Lifetime Distributions Using Two Relative Reliability Measures

TL;DR: In this article , a general characterization property considering two new dynamic relative reliability measures is obtained, which are expressed as the ratio of hazard rates and as a ratio of reversed hazard rates, and evaluated partially at some sequential random times following a specific distribution.
Journal ArticleDOI

Stochastic Comparisons of General Proportional Mean Past Lifetime Frailty Model

TL;DR: In this article, the unconditional cumulative distribution and density functions of the lifetime variable are derived from a general proportional mean past lifetime frailty model, and the effects of the baseline variable and the frailty variable on the proposed model are studied.
Journal ArticleDOI

Ordering results of second order statistics from random and non-random number of random variables with Archimedean copulas

TL;DR: In this article, the second largest order statistics of homogeneous samples coupled by Archimedean copula were investigated, and the reversed hazard rate and likelihood ratio orders were established.
References
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Journal ArticleDOI

Orderings of coherent systems with randomized dependent components

TL;DR: This study provides sufficient conditions on the component’s lifetimes and on the random numbers of components chosen from the two stocks in order to improve the reliability of the whole system according to different stochastic orders.
Journal ArticleDOI

On partial orderings between coherent systems with different structures

TL;DR: In this paper, the preservation of orderings between the components under the formation of coherent systems with different structures was studied, and the stochastic, failure rate, reversed failure rate and likelihood ratio orderings were compared.
Journal ArticleDOI

Dispersive ordering and monotone failure rate distributions

TL;DR: In this paper, the authors present connections between the dispersive ordering and monotone failure rate distributions, and show that it has a strong correlation with the failure rate of distributions.
Journal ArticleDOI

Relationship Between System Failure Rate and Component Failure Rates

James D. Esary, +1 more
- 01 May 1963 - 
TL;DR: In this article, a simple sufficient condition is given for a system to have an increasing failure rate when the identical components comprising it have an increased failure rate, and upper and lower bounds on failure rate are obtained in terms of component failure rates.
Journal ArticleDOI

Comparisons of coherent systems using stochastic precedence

TL;DR: In this article, it was shown that if the components in both systems are independent and satisfy the Cox proportional hazard rate (PHR) model, then these comparisons do not depend on the baseline hazard rate function.
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