Estimation of Multicomponent Stress-Strength Reliability with Exponentiated Generalized Inverse Rayleigh Distribution

In this paper, an estimation of the multicomponent stress-strength reliability is introduced subject to the exponentiated generalized inverse Rayleigh distribution. Different methods of estimation are introduced to estimate the multicomponent stress-strength reliability. Simulation method is introdu...

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Bibliographic Details
Published inEngineering letters Vol. 32; no. 8; p. 1623
Main Author Temraz, Neama Salah Youssef
Format Journal Article
LanguageEnglish
Published Hong Kong International Association of Engineers 01.08.2024
Subjects
Asymptotic methods
Confidence intervals
Estimates
Generalized inverse
Rayleigh distribution
Reliability
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ISSN1816-093X
1816-0948

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Summary:In this paper, an estimation of the multicomponent stress-strength reliability is introduced subject to the exponentiated generalized inverse Rayleigh distribution. Different methods of estimation are introduced to estimate the multicomponent stress-strength reliability. Simulation method is introduced to illustrate the steps of finding the estimates of the multicomponent stress-strength reliability. Asymptotic and bootstrap confidence intervals are proposed in order to find interval estimations for the multicomponent stress-strength reliability. A Bayesian estimation method is introduced for the multicomponent stress-strength reliability. A simulation study is introduced to obtain the estimates of the multicomponent stress-strength reliability for the different methods of estimation. A real data application is introduced to show how the exponentiated generalized inverse Rayleigh distribution is used to fit the real data sets.
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ISSN:1816-093X
1816-0948