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Double-ranked set sampling

✍ Scribed by M.Fraiwan Al-Saleh; M.Ali Al-Kadiri


Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
92 KB
Volume
48
Category
Article
ISSN
0167-7152

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✦ Synopsis


As a variation of ranked set sampling (RSS), double-ranked set sampling technique (DRSS) is introduced and investigated. It is shown that this extension of RSS is more e cient in estimating the population mean than both RSS and simple random sampling (SRS). It is also shown, using the concept of "degree of distinguishability" between the sample observations, that ranking in the second stage is easier than that in the ΓΏrst stage.


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Ranked set sampling (RSS), as suggested by McIntyre (1952), assumes perfect ranking, i.e. without errors in ranking, but for most practical applications it is not easy to rank the units without errors in ranking. As pointed out by Dell and Clutter (1972) there will be a loss in precision due to the