Parametric ranked set sampling
β Scribed by Lynne Stokes
- Publisher
- Springer Japan
- Year
- 1995
- Tongue
- English
- Weight
- 958 KB
- Volume
- 47
- Category
- Article
- ISSN
- 0020-3157
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π SIMILAR VOLUMES
Ranked set sampling (RSS) was ΓΏrst used to obtain a more e cient estimator of the population mean, as compared to the one based on simple random sampling. This technique is useful when judgment ordering of a simple random sample (SRS) of small size can be done easily and fairly accurately, but exact
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 "de
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