Reliability Estimation for the Remained Stress-Strength Model under the Generalized Exponential Lifetime Distribution

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
M. M. Saber, Marwa M. Mohie El-Din, H. Yousof
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引用次数: 11

Abstract

A stress-strength reliability model compares the strength and stresses on a certain system; it is used not only primarily in reliability engineering and quality control but also in economics, psychology, and medicine. In this paper, a novel extension of stress-strength models is presented. The mew model is applied under the generalized exponential distribution. The maximum likelihood estimator, asymptotic distribution, and Bayesian estimation are obtained. A comprehensive simulation study along with real data analysis is performed for illustrating the importance of the new stress-strength model.
广义指数寿命分布下剩余应力强度模型的可靠性估计
应力强度可靠性模型比较某个系统的强度和应力;它不仅主要用于可靠性工程和质量控制,还用于经济学、心理学和医学。本文提出了一种新的应力强度模型的扩展。mew模型应用于广义指数分布下。得到了最大似然估计量、渐近分布和贝叶斯估计。为了说明新的应力强度模型的重要性,进行了全面的模拟研究和实际数据分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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