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On Estimating a Population Proportion via Ranked Set Sampling

โœ Scribed by J. T. Terpstra

Publisher
John Wiley and Sons
Year
2004
Tongue
English
Weight
112 KB
Volume
46
Category
Article
ISSN
0323-3847

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Median ranked set sampling with concomit
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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

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Ranked set sampling (RSS) as suggested by MCINTYRE (1952) and TAKAHASI and WAKIMOTO (1968) may be used to estimate the parameters of the simple regression line. The objective is to use the RSS method to increase the eficiency of the estimators relative to the simple random sampling (SRS) method. Est