On multistage ranked set sampling for distribution and median estimation
| Author | Al-Saleh, Mohammad Fraiwan |
| Author | Samuh, Monjed Hisham |
| Available date | 2010-01-07T07:56:14Z |
| Publication Date | 2007-07-01 |
| Publication Name | Computational Statistics and Data Analysis |
| Identifier | http://dx.doi.org/10.1016/j.csda.2007.07.002 |
| 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 |
| 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. |
| Language | en |
| Publisher | Elsevier B.V. |
| Subject | Empirical distribution function Multistage ranked set sampling Ranked set sampling Simple random sampling |
| Type | Article |
Check access options
Files in this item
| Files | Size | Format | View |
|---|---|---|---|
|
There are no files associated with this item. |
|||
This item appears in the following Collection(s)
-
Mathematics, Statistics & Physics [740 items ]