Estimate Stress-Strength Reliability Model Using Rayleigh and Half-Normal Distribution.
| Autor: | Alamri OA; Department of Statistics, Faculty of Science, University of Tabuk, Tabuk 71491, Saudi Arabia., El-Raouf MMA; Basic and Applied Science Institute, Arab Academy for Science, Technology and Maritime Transport (AASTMT), Alexandia, Egypt., Ismail EA; College of International Transport and Logistics, Arab Academy for Science, Technology and Maritime Transport, Smart Village Campus, Cairo, Egypt., Almaspoor Z; Department of Statistics, Yazd University, P.O. Box 89175-741, Yazd, Iran., Alsaedi BSO; Department of Statistics, Faculty of Science, University of Tabuk, Tabuk 71491, Saudi Arabia., Khosa SK; Department of Statistics, Bahauddin Zakariya University, Multan, Pakistan., Yusuf M; Department of Mathematics, Faculty of science, Helwan University, Cairo, Egypt. |
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| Jazyk: | angličtina |
| Zdroj: | Computational intelligence and neuroscience [Comput Intell Neurosci] 2021 Jul 05; Vol. 2021, pp. 7653581. Date of Electronic Publication: 2021 Jul 05 (Print Publication: 2021). |
| DOI: | 10.1155/2021/7653581 |
| Abstrakt: | In the field of life testing, it is very important to study the reliability of any component under testing. One of the most important subjects is the "stress-strength reliability" term which always refers to the quantity P ( X > Y ) in any statistical literature. It resamples a system with random strength ( X ) that is subjected to a random strength ( Y ) such that a system fails in case the stress exceeds the strength. In this study, we consider stress-strength reliability where the strength ( X ) follows Rayleigh-half-normal distribution and stress ( Y Competing Interests: The authors declare that they have no conflicts of interest. (Copyright © 2021 Osama Abdulaziz Alamri et al.) |
| Databáze: | MEDLINE |
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