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Journals / Hacettepe Journal of Mathematics and Statistics / 2018 / Cilt: 47 - Sayı: 1

On estimating a stress-strength type reliability

M. MAHDİZADEH
Pages
243–253
Publication Date
2022-10-18
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results show that the estimator could be highly effcient in many situations considered.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This article deals with estimating an extension of the well-known stress-strength reliability in nonparametric setup.
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Key Findings & Data:By means of Monte Carlo simulations, the proposed estimator is compared with its parametric analogs in the case of exponential distribution.
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Conclusion & Impact:The results show that the estimator could be highly effcient in many situations considered.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Judgment ranking · $\ell$-out-of-$k$ system · Robustness

Abstract

This article deals with estimating an extension of the well-known stress-strength reliability in nonparametric setup. By means of Monte Carlo simulations, the proposed estimator is compared with its parametric analogs in the case of exponential distribution. The results show that the estimator could be highly effcient in many situations considered.

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Cite This Article

MAHDİZADEH, M. (2022). On estimating a stress-strength type reliability. Hacettepe Journal of Mathematics and Statistics, Cilt: 47 - Sayı: 1, 243–253. https://ajindex.com/articles/529819

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References (8)

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