On multistage ranked set sampling for distribution and median estimation

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Author Al-Saleh, Mohammad Fraiwan en_US
Author Samuh, Monjed Hisham en_US
Available date 2010-01-07T07:56:14Z en_US
Publication Date 2007-07-01 en_US
Citation Al-Saleh, M. F., & Samuh, M. H. (2008). On multistage ranked set sampling for distribution and median estimation. Computational Statistics and Data Analysis, 52, 2066–2078 en_US
URI http://dx.doi.org/10.1016/j.csda.2007.07.002 en_US
URI http://hdl.handle.net/10576/10625 en_US
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
Language en en_US
Publisher Elsevier B.V. en_US
Subject Empirical distribution function en_US
Subject Multistage ranked set sampling en_US
Subject Ranked set sampling en_US
Subject Simple random sampling en_US
Title On multistage ranked set sampling for distribution and median estimation en_US
Type Article en_US


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