Bootstrap Approach for Testing More Than Two Population Means with Ranked Set Sampling

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Gazi University Journal of Science
Volume:36 Issue:4
Bootstrap Approach for Testing More Than Two Population Means with Ranked Set Sampling

Bootstrap Approach for Testing More Than Two Population Means with Ranked Set Sampling

Authors : Nurdan Yeniay Koçer, Yaprak Özdemir, Fikri Gökpinar

Pages : 1811-1832

Doi:10.35378/gujs.1038212

View : 143 | Download : 266

Publication Date : 2023-12-01

Article Type : Research Paper

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 bootstrap simple random sampling and bootstrap ranked set sampling methods using simulation study. Simulation study shows that adapted methods which proposed in this paper perform quite well.
Keywords : Ranked set sampling, Bootstrap, ANOVA, Hypothesis testing

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