Bayesian inference and prediction of the Pareto distribution based on ordered ranked set sampling

Mostafa M. Mohie El-Din, Mohamed S. Kotb, Ehab F. Abd-Elfattah and Haidy A. Newer

Communications in Statistics - Theory and Methods, 2017, vol. 46, issue 13, 6264-6279

Abstract: In this paper, order statistics from independent and non identically distributed random variables is used to obtain ordered ranked set sampling (ORSS). Bayesian inference of unknown parameters under a squared error loss function of the Pareto distribution is determined. We compute the minimum posterior expected loss (the posterior risk) of the derived estimates and compare them with those based on the corresponding simple random sample (SRS) to assess the efficiency of the obtained estimates. Two-sample Bayesian prediction for future observations is introduced by using SRS and ORSS for one- and m-cycle. A simulation study and real data are applied to show the proposed results.

Date: 2017
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DOI: 10.1080/03610926.2015.1124118

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