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-Saleh, M.F.
dc.contributor.author Samuh, M.H.
dc.date.accessioned 2010-01-07T07:56:14Z
dc.date.available 2010-01-07T07:56:14Z
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/10576/10625
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 Empirical distribution function en_US
dc.subject Multistage ranked set sampling en_US
dc.subject Ranked set sampling en_US
dc.subject Simple random sampling 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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