毛刺X分布形状参数估计的极大极小缩小技术

Ibn Al-Haitham Journal For Pure And Applied Science Pub Date : 2018-04-26 DOI:10.30526/2017.IHSCICONF.1820

A. N. Salman, Maymona M. Ameen, A. Abdul-Nabi

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引用次数: 0

摘要

本文研究了在已知尺度参数的情况下，在已知实际形状的先验信息为原始估计的情况下，利用最小-最大收缩估计技术估计毛刺X分布的形状参数。偏置比、均方误差和相对效率方程的推导。给出了上述表达式的数值结果和结论。提出的估算器与最近的工作进行了比较。

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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Minimax Shrunken Technique for Estimate Burr X Distribution Shape Parameter

The present paper concern with minimax shrinkage estimator technique in order to estimate Burr X distribution shape parameter, when prior information about the real shape obtainable as original estimate while known scale parameter. Derivation for Bias Ratio, Mean squared error and the Relative Efficiency equations. Numerical results and conclusions for the expressions mentioned above were displayed. Comparisons for proposed estimator with most recent works were made.

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Ibn Al-Haitham Journal For Pure And Applied Science

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