@article{MAKHILLJEAS201914317408,
    title = {An Estimate of the Reliability of the Rayleigh Distribution in the Reliability Stress
Strength Using Bayesian Method and Robustfit Method},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {3},
    pages = {927-930},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.927.930},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.927.930},
    author = {Mujtaba Zuhair,Ali Abbas and},
    keywords = {Rayleigh distribution,stress,strength,reliability is estimated,Bayesian method,Robustfit method},
    abstract = {In this study using two random variables follows Rayleigh distribution such that X is stress and Y
is strength with parameters α and β using different size (n, m). Reliability is estimated using the Bayesian
method and Robustfit method of the estimate in samples taken from stress and strength distributions. statistical
metrics are used to compare between two methods and to get the best method and from MSE, TD and R<sup>2</sup>. A
small sample of reliability estimates is compared through the Monte Carlo Simulation.}
    }