Open AccessOn Bayesian Estimation of System Reliability in Stress – Strength Model Based on Generalized Inverse Rayleigh Distribution
Author(s) -
Iman Ghaji Jebur,
Bayda Atiya Kalaf,
Abbas Najim Salman
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/871/1/012053
Subject(s) - rayleigh distribution , inverse , reliability (semiconductor) , bayesian probability , monte carlo method , mathematics , stress (linguistics) , statistics , rayleigh scattering , computer science , algorithm , physics , probability density function , geometry , power (physics) , linguistics , philosophy , quantum mechanics , optics
The parameter and system reliability in stress-strength model are estimated in this paper when the system contains several parallel components that have strengths subjects to common stress in case when the stress and strengths follow Generalized Inverse Rayleigh distribution by using different Bayesian estimation methods. Monte Carlo simulation introduced to compare among the proposal methods based on the Mean squared Error criteria.