The problem of estimating the parameter of Exponential distribution on the basis of type II censoring scheme is considered when the available data are in the form of fuzzy numbers. The Bayes estimate of the unknown parameter is obtained by using the approximation forms of Lindley (1980) and Tierney and Kadane (1986) under the assumption of gamma prior. The highest posterior density (HPD) estimate of the parameter of interest is found. A Monte Carlo simulation is used to compare the performances of the different methods. A real data set is investigated to illustrate the applicability of the proposed methods.
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机译：当可用数据为模糊数形式时，考虑了基于II类删失方案估计指数分布参数的问题。在伽玛先验的假设下，通过使用Lindley（1980）和Tierney and Kadane（1986）的近似形式获得未知参数的贝叶斯估计。找到感兴趣参数的最高后验密度（HPD）估计值。蒙特卡罗模拟用于比较不同方法的性能。一个真实的数据集进行了研究，以说明所提出的方法的适用性。
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