On multistage ranked set sampling for distribution and median estimation
المؤلف | Al-Saleh, Mohammad Fraiwan |
المؤلف | Samuh, Monjed Hisham |
تاريخ الإتاحة | 2010-01-07T07:56:14Z |
تاريخ النشر | 2007-07-01 |
اسم المنشور | Computational Statistics and Data Analysis |
المعرّف | http://dx.doi.org/10.1016/j.csda.2007.07.002 |
الاقتباس | 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 |
الملخص | 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. |
اللغة | en |
الناشر | Elsevier B.V. |
الموضوع | Empirical distribution function Multistage ranked set sampling Ranked set sampling Simple random sampling |
النوع | Article |
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