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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Applications of these results to evaluate the relationship between the mean residual life and that of the dependence of components are also given.
📌 3 Key Takeaways
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Objective & Hypothesis:In this paper, we consider the mean residual lifetime of two-component parallel systems in the case of possibly dependent components.
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Key Findings & Data:We provide some results and examine the behavior of the mean residual life function at the system level for the bivariate Farlie-Gumbel- Morgenstern (FGM) distribution.
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Conclusion & Impact:Applications of these results to evaluate the relationship between the mean residual life and that of the dependence of components are also given.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
In this paper, we consider the mean residual lifetime of two-component parallel systems in the case of possibly dependent components. We provide some results and examine the behavior of the mean residual life function at the system level for the bivariate Farlie-Gumbel- Morgenstern (FGM) distribution. Applications of these results to evaluate the relationship between the mean residual life and that of the dependence of components are also given.
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Cite This Article
GURLER, S., UCER, B. (2022). On the mean residual lifetime at system level in two-component parallel systems for the FGM distribution. Hacettepe Journal of Mathematics and Statistics, Cilt: 41 - Sayı: 1, 139–145. https://ajindex.com/articles/530525