Bayesian and E-Bayesian estimation for the Kumaraswamy distribution based on type-ii censoring

  • Authors

    • Hesham Reyad Lecture in EL Qassim University
    • Soha Othman Ahmed
    2016-03-05
    https://doi.org/10.14419/ijams.v4i1.5750
  • Censored Sampling, E-Bayes Estimates, Kumaraswamy Distribution, Type-II Censored, Loss Functions, Monte Carlo Simulation.

  • Abstract

    This paper introduces the Bayesian and E-Bayesian estimation for the shape parameter of the Kumaraswamy distribution based on type-II censored schemes. These estimators are derived under symmetric loss function [squared error loss (SELF))] and three asymmetric loss functions [LINEX loss function (LLF), Degroot loss function (DLF) and Quadratic loss function (QLF)]. Monte Carlo simulation is performed to compare the E-Bayesian estimators with the associated Bayesian estimators in terms of Mean Square Error (MSE).

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  • How to Cite

    Reyad, H., & Ahmed, S. O. (2016). Bayesian and E-Bayesian estimation for the Kumaraswamy distribution based on type-ii censoring. International Journal of Advanced Mathematical Sciences, 4(1), 10-17. https://doi.org/10.14419/ijams.v4i1.5750