Dynamic reliability estimation in a rank-based design

Pub Date : 2019-06-10 DOI:10.19195/0208-4147.39.1.1
M. Mahdizadeh, Ehsan Zamanzade
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引用次数: 11

Abstract

Ranked set sampling RSS is a data collection method that allows us to direct attention toward measurements of more representative sample units. This article deals with estimating a time-dependent reliability measure under a generalization of the RSS. Some results concerning optimal properties of the proposed estimator are presented. Monte Carlo simulation is employed to assess performance of the estimator. A sport data set is finally analyzed.
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基于秩的动态可靠性估计
排名集抽样RSS是一种数据收集方法,它使我们能够将注意力集中在更具代表性的样本单位的测量上。本文讨论了在广义RSS下估计时变可靠性的问题。给出了该估计器最优性质的一些结果。采用蒙特卡罗仿真对估计器的性能进行了评估。最后对一个运动数据集进行分析。
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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