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Research Article Open access CC BY 4.0

Estimation of Stress-Strength Reliability for Exponentiated Inverted Weibull Distribution Based on Lower Record Values

Amal S. Hassan, Hiba Z. Muhammed, Mohammed S. Saad

Journal of Advances in Mathematics and Computer Science · pp. 1–14 · Published 23 Aug 2015

10.9734/BJMCS/2015/19829

Abstract

The estimation of stress-strength reliability function based on record values has attracted the attention of authors because of its important role in industrial tests, where in some situations not all observations are considered in the study but only observations which are more extreme than the current observations, which represent record values, are the subject of the study. This paper deals with the estimation of R = P [Y < X ] , when X and  are two  independently exponentiated inverted Weibull distributed random variables based on lower record values. Non-Bayesian estimator using maximum likelihood method and Bayesian estimators using squared error and LINEX loss functions are derived. The exact confidence interval of the reliability is also derived. For illustrative purposes, analysis of a simulated data set has been performed to compare the different estimators and to investigate the coverage probabilities of confidence intervals.

Exponentiated inverted Weibull distribution stress- strength reliability lower record values.

Cited by 15

Entropy Bayesian Analysis for the Generalized Inverse Exponential Distribution Based on URRSS

A. Al-Omari, A. Hassan, H. Nagy · Computers Materials & Continua · 2021

Estimation of reliability function based on the upper record values for generalized gamma Lindley stress–strength model: Case study COVID-19

Mathematics Department, Faculty of Science, Zagazig University, Zagazig, Egypt, M. O. Mohamed · International Journal of ADVANCED AND APPLIED SCIENCES · 2022

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