On multistage ranked set sampling for distribution and median estimation

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On multistage ranked set sampling for distribution and median estimation

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dc.contributor.author Al-Saleha, Mohammad Fraiwan
dc.contributor.author Samuhb, Monjed Hisham
dc.date.accessioned 2009-12-29T06:08:00Z
dc.date.available 2009-12-29T06:08:00Z
dc.date.issued 2007-07-01
dc.identifier.citation Volume 52, Issue 4, 10 January 2008, Pages 2066-2078 en_US
dc.identifier.uri http://dx.doi.org/10.1016/j.csda.2007.07.002
dc.identifier.uri http://hdl.handle.net/10576/10549
dc.description.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. en_US
dc.language.iso en en_US
dc.subject multistage ranked set en_US
dc.subject distribution and median estimation en_US
dc.title On multistage ranked set sampling for distribution and median estimation en_US
dc.type Article en_US

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