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

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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