On multistage ranked set sampling for distribution and median estimation |
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Authors: | Mohammad Fraiwan Al-Saleh Monjed Hisham Samuh |
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Affiliation: | a Department of Mathematics and Physics, Qatar University, Qatar b Department of Mathematics and Computer Sciences, Palestine Polytechnic University, Hebron, Palestine |
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Abstract: | A variation of ranked set sampling (RSS), multistage RSS (MSRSS), is investigated for the estimation of the distribution function and some of its quantiles, in particular the median. It is shown that this method is significantly more efficient than simple random sampling (SRS). The method becomes more and more effective as the number of stages r increases. Two estimators of the median based on MSRSS are proposed and compared to the sample median obtained by SRS. |
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Keywords: | Empirical distribution function Multistage ranked set sampling Ranked set sampling Simple random sampling |
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