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Bayesian Estimations with Fuzzy Data to Estimation Inverse Rayleigh Scale Parameter

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DOI: 10.4236/ojapps.2019.98054    86 Downloads   184 Views

ABSTRACT

In this paper, Bayesian computational method is used to estimate inverse Rayleigh Scale parameter with fuzzy data. Based on imprecision data, the Bayes estimates cannot be obtained in explicit form. Therefore, we provide Tierney and Kadane’s approximation to compute the Bayes estimates of the scale parameter under Square error and Precautionary loss function using Non-informative Jefferys Prior. Also, we provide compared numerically through Monte-Carlo simulation study to obtained estimates of the scale parameter in terms of mean squared error values.

Cite this paper

AL-Sultany, S. (2019) Bayesian Estimations with Fuzzy Data to Estimation Inverse Rayleigh Scale Parameter. Open Journal of Applied Sciences, 9, 673-681. doi: 10.4236/ojapps.2019.98054.

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