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

Mohammad Mehdi Saber, M. M. Mohie El-Din, Haitham M. Yousof

2021Journal of Probability and Statistics16 citationsDOIOpen Access PDF

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.

Topics & Concepts

EstimatorReliability (semiconductor)MathematicsExponential distributionExtension (predicate logic)Applied mathematicsMaximum likelihoodExponential functionStress (linguistics)StatisticsBayes estimatorBayesian probabilityEstimationEconometricsMathematical optimizationComputer scienceEngineeringMathematical analysisQuantum mechanicsLinguisticsPower (physics)PhysicsPhilosophyProgramming languageSystems engineeringStatistical Distribution Estimation and ApplicationsReliability and Maintenance OptimizationProbabilistic and Robust Engineering Design
Reliability Estimation for the Remained Stress-Strength Model under the Generalized Exponential Lifetime Distribution | Litcius