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

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Yeniay Kocer N., ÖZDEMİR Y. A., GÖKPINAR F.

Gazi University Journal of Science, vol.36, no.4, pp.1811-1832, 2023 (ESCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 36 Issue: 4
  • Publication Date: 2023
  • Doi Number: 10.35378/gujs.1038212
  • Journal Name: Gazi University Journal of Science
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus, Academic Search Premier, Aerospace Database, Aquatic Science & Fisheries Abstracts (ASFA), Communication Abstracts, Metadex, Civil Engineering Abstracts, TR DİZİN (ULAKBİM)
  • Page Numbers: pp.1811-1832
  • Keywords: ANOVA, Bootstrap, Hypothesis testing, Ranked set sampling
  • Gazi University Affiliated: Yes

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.