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Bayesian Estimations with Fuzzy Data to Estimation Inverse Rayleigh Scale Parameter

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Document pages: 9 pages

Abstract: In this paper, Bayesian computational method is used to estimate inverse Rayleigh Scale parameter withfuzzy data. Based on imprecision data, the Bayes estimates cannot be obtainedin explicit form. Therefore, we provide Tierney and Kadane’sapproximation to compute the Bayes estimates of the scale parameter underSquare error and Precautionary loss function using Non-informative JefferysPrior. Also, we provide compared numerically through Monte-Carlo simulationstudy to obtained estimates of the scale parameter in terms of mean squarederror values.

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