Bayesian Shift Point Estimation of Burr Type III Distribution under General Entropy Loss Function

U. Srivastava, H. Kumar
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Abstract

This paper considers a mean shift with an unknown shift point in a process Burr type III sequence and estimates the unknown shift point (change point) by the method of Bayesian Estimation Procedure. Pre-shift and post-shift means are estimated concurrently with the change point. When the underlying process overestimate or underestimate the mean shift in process we use asymmetric Loss function as General entropy Loss Function in order to estimate the mean shift. A Simulation Study is done by using R software.
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广义熵损失函数下毛刺III型分布的贝叶斯移位点估计
本文研究了一类过程Burrⅲ型序列中具有未知移位点的均值移位,并利用贝叶斯估计方法对未知移位点(变化点)进行了估计。位移前均值和位移后均值与变化点同时估计。当基础过程高估或低估过程中的平均位移时,我们使用非对称损失函数作为一般熵损失函数来估计平均位移。利用R软件进行了仿真研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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