BOOTSTRAP APPROACH FOR TESTING MORE THAN TWO POPULATION MEANS WITH RANKED SET SAMPLING

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

gazi university journal of science Pub Date : 2022-10-12 DOI:10.35378/gujs.1038212

Nurdan YENİAY KOÇER, Y. Özdemir, F. Gökpınar

引用次数: 0

Abstract

In this study, hypothesis test is investigated based on Bootstrap sample selection methods to compare more than two population means under Ranked Set Sampling. Bootstrap sample selection methods are obtained by adapting Hui’s sample selection methods for confidence interval. We also compare these adapted methods with their alternatives using simulation study. Simulation study shows that adapted methods which proposed in this paper perform quite well.

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用排序集抽样检验两个以上总体均值的自举方法

在本研究中，假设检验是基于Bootstrap样本选择方法，以比较两个以上的总体平均数下的排序集抽样。将Hui的样本选择方法应用于置信区间，得到了Bootstrap样本选择方法。我们还通过模拟研究将这些适应的方法与它们的替代方法进行了比较。仿真研究表明，本文提出的自适应方法性能良好。

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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来源期刊

gazi university journal of science MULTIDISCIPLINARY SCIENCES-

CiteScore

1.60

自引率

11.10%

发文量

期刊介绍： The scope of the “Gazi University Journal of Science” comprises such as original research on all aspects of basic science, engineering and technology. Original research results, scientific reviews and short communication notes in various fields of science and technology are considered for publication. The publication language of the journal is English. Manuscripts previously published in another journal are not accepted. Manuscripts with a suitable balance of practice and theory are preferred. A review article is expected to give in-depth information and satisfying evaluation of a specific scientific or technologic subject, supported with an extensive list of sources. Short communication notes prepared by researchers who would like to share the first outcomes of their on-going, original research work are welcome.