E-Bayesian analysis of the Gumbel type-ii distribution under type-ii censored scheme

  • Abstract
  • Keywords
  • References
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  • Abstract

    This paper seeks to focus on Bayesian and E-Bayesian estimation for the unknown shape parameter of the Gumbel type-II distribution based on type-II censored samples. These estimators are obtained under symmetric loss function [squared error loss (SELF))] and various asymmetric loss functions [LINEX loss function (LLF), Degroot loss function (DLF), Quadratic loss function (QLF) and minimum expected loss function (MELF)]. Comparisons between the E-Bayesian estimators with the associated Bayesian estimators are investigated through a simulation study.

  • Keywords

    E-Bayesian Estimates; Gumbel Type-II Distribution; Loss Functions; Monte Carlo Simulation; Type-II Censoring.

  • References

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Article ID: 5093
DOI: 10.14419/ijams.v3i2.5093

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