Weibull-Bayesian analysis based on ranked set sampling

  • Authors

    • Amr Sadek Al-Azhar University
    • Fahad Alharbi Umm Al-Qura University
    2014-10-02
    https://doi.org/10.14419/ijasp.v2i2.3373

  • Abstract

    Most of estimation methods reported in the literature are based on simple random sampling (SRS), which to certain extent is considerably less effective in estimating the parameters as compared to a new sampling technique, ranked set sampling (RSS) and its modifications.

    In this Paper we address the problem of Bayesian estimation of the parameters for Weibull distribution, based on ranked set sampling. Two loss functions have been studied: (i) the squared-error loss function as symmetric loss function, (ii) the linex loss function as asymmetric loss function. Different estimates are compared using simulations for illustrative purposes.

    Keywords: Bayes, Estimation, Loss function, priors, Ranked set sampling.

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  • Received date: 2014-08-14

    Accepted date: 2014-09-14

    Published date: 2014-10-02