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- W2911566046 abstract "This article studies E-Bayesian estimation and its E-posterior risk, for failure rate derived from exponential distribution, in the case of the two hyper parameters. In order to measure the estimated risk, the definition of E-posterior risk (expected posterior risk) is proposed based on the definition of E-Bayesian estimation. Moreover, under the different prior distributions of hyper parameters, the formulas of E-Bayesian estimation and formulas of E-posterior risk are given respectively, these estimations are derived based on a conjugate prior distribution for the unknown parameter under the squared error loss function. Monte Carlo simulations are performed to compare the performances of the proposed methods of estimation and a real data set have been analyzed for illustrative purposes, results are compared on the basis of E-posterior risk." @default.
- W2911566046 created "2019-02-21" @default.
- W2911566046 creator A5055960913 @default.
- W2911566046 date "2019-02-16" @default.
- W2911566046 modified "2023-09-24" @default.
- W2911566046 title "E-Bayesian estimation and its E-posterior risk of the exponential distribution parameter based on complete and type I censored samples" @default.
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- W2911566046 doi "https://doi.org/10.1080/03610926.2019.1565837" @default.
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