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On multistage ranked set sampling for distribution and median estimation
Authors:Mohammad Fraiwan Al-Saleh  Monjed Hisham Samuh
Affiliation:a Department of Mathematics and Physics, Qatar University, Qatar
b Department of Mathematics and Computer Sciences, Palestine Polytechnic University, Hebron, Palestine
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.
Keywords:Empirical distribution function  Multistage ranked set sampling  Ranked set sampling  Simple random sampling
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