Quantifying stochastic dependence of marginal lifetimes of two-component load-sharing parallel systems

Abstract System components usually attain marginal lifetimes with stochastic dependence in the context of load-sharing reliability structures. This study deals with the load-sharing parallel systems of two components. We prove that two marginal lifetimes are positively quadrant dependent when component lifetimes have continuous probability distributions, and such a stochastic dependence is upgraded to the total positive of order 2 in the setting of component lifetimes having an exponential distribution. In addition, we discuss how these findings shed light on related results for the load-sharing Ross model, the conditional residual lifetime, and the conditional inactivity time.

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Publication Details

Journal
Probability in the Engineering and Informational Sciences
Published
2026-01-13
DOI
https://doi.org/10.1017/s0269964825100168
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
Field-Weighted Citation Impact
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article

Quantifying stochastic dependence of marginal lifetimes of two-component load-sharing parallel systems

X. Li, Chen Li
Probability in the Engineering and Informational Sciences
Statistical Distribution Estimation and Applications
article

Quantifying stochastic dependence of marginal lifetimes of two-component load-sharing parallel systems

X. Li, Chen Li
article en

Abstract

Abstract System components usually attain marginal lifetimes with stochastic dependence in the context of load-sharing reliability structures. This study deals with the load-sharing parallel systems of two components. We prove that two marginal lifetimes are positively quadrant dependent when component lifetimes have continuous probability distributions, and such a stochastic dependence is upgraded to the total positive of order 2 in the setting of component lifetimes having an exponential distribution. In addition, we discuss how these findings shed light on related results for the load-sharing Ross model, the conditional residual lifetime, and the conditional inactivity time.

Probability in the Engineering and Informational Sciences
Stevens Institute of Technology (US), Tianjin University of Commerce (CN)
Openalex Percentile: Top 91%
Statistical Distribution Estimation and Applications
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