基于秩的动态可靠性估计

IF 0.4 4区数学 Q4 STATISTICS & PROBABILITY

Probability and Mathematical Statistics-Poland 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

摘要

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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Dynamic reliability estimation in a rank-based design

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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来源期刊

Probability and Mathematical Statistics-Poland STATISTICS & PROBABILITY-

CiteScore

0.70

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： PROBABILITY AND MATHEMATICAL STATISTICS is published by the Kazimierz Urbanik Center for Probability and Mathematical Statistics, and is sponsored jointly by the Faculty of Mathematics and Computer Science of University of Wrocław and the Faculty of Pure and Applied Mathematics of Wrocław University of Science and Technology. The purpose of the journal is to publish original contributions to the theory of probability and mathematical statistics.