基于选择性阶统计量的幂函数分布估计

M. Alodat, M. Al-Rawwash, S. Al-Subh
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引用次数: 1

摘要

在本文中,我们提出了选择性阶统计抽样方案作为估计单变量幂函数分布参数的一种有前途的方法。导出了幂函数分布参数的极大似然估计量和矩量估计量,以及可靠性参数和两均值之比的矩量估计量。此外,我们还得到了所提估计量的渐近性质。最后,我们进行了仿真研究,研究了选择阶统计量方案的性能,得出了它适合幂函数分布的结论,并发现在选择阶统计量抽样方案下,极大似然估计比矩估计方法要好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of power function distribution based on selective order statistic
In this article, we present the selective order statistic sampling scheme as a promising approach to estimate the parameter of the univariate power function distribution. We derive the maximum likelihood estimator and the method of moments estimator of the power function distribution parameter as well as the reliability parameter and the ratio of two means. Moreover, we derive the asymptotic properties of the proposed estimators. Finally, we conduct simulation studies to investigate the performance of the selective order statistic scheme and concluded that it suits the power function distribution and we found that the maximum likelihood estimator is better than the method of moments estimator under the selective order statistic sampling scheme.
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