估计Weitzman重叠测度的数值积分近似:威布尔分布

Q3 Decision Sciences
Omar M. Eidous, Mervat Al-Hayja`a
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引用次数: 0

摘要

本文研究了当两个独立随机变量?? ?时重叠(OVL) Weitzman测度的估计问题。和? ?由双参数威布尔分布给出。措施是什么?在假设两个形状参数相等的情况下,对两个威布尔分布进行了研究。本文给出了Weibull分布下Weitzmans测度的一般表达式,而不使用任何关于分布参数的假设。一些新的估计?是根据三种数值积分规则开发的,即梯形,辛普森1/3和辛普森3/8规则。通过仿真技术和实际数据,研究了所提估计器的性能,并与现有估计器进行了比较。结果表明,在几乎所有考虑的情况下,所提出的估计量都优于现有的估计量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Numerical integration approximations to estimate the Weitzman overlapping measure: Weibull distributions
This paper deals with the problem of estimating the overlapping (OVL) Weitzman measure (?) when two independent random variables ?? and ?? are given by two-parameter Weibull distribution. The measure ? has been studied in the literature in the case of two Weibull distributions under the assumption that the two shape parameters are equal. In this work, a general expression for the Weitzmans measure is provided under the Weibull distribution without using any assumptions about the distribution parameters. Some new estimators for ? are developed depending on three numerical integration rules known as trapezoidal, Simpson 1/3 and Simpson 3/8 rules. The performance of the proposed estimators were investigated and compared with some existing estimators via simulation technique and real data. The results demonstrated the superiority of the proposed estimators over the existing one in almost all considered cases.
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来源期刊
Yugoslav Journal of Operations Research
Yugoslav Journal of Operations Research Decision Sciences-Management Science and Operations Research
CiteScore
2.50
自引率
0.00%
发文量
14
审稿时长
24 weeks
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