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Paired ranked set sampling: a more efficient procedure

โœ Scribed by S. S. Hossain; H. A. Muttlak


Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
153 KB
Volume
10
Category
Article
ISSN
1180-4009

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โœฆ Synopsis


The usual ranked set sampling (RSS) scheme is modiยฎed and a paired ranked set sampling (PRSS) method is suggested. Estimators for population mean and standard deviation using the PRSS method are obtained. The estimator of population mean based on the PRSS is compared with simple random sampling (SRS) mean, the RSS estimator of population mean and also with the minimum variance linear unbiased estimator (MVLUE) of population mean based on RSS. The estimator of standard deviation based on the PRSS is also compared with the MVLUE of population standard deviation. The estimators of population mean and standard deviation based on PRSS are found to be more ecient than their respective counterparts for six probability distributions considered. The estimators of population mean and standard deviation based on PRSS are compared with those based on the SRS and the RSS for normal distribution where errors in ranking are present. The estimators using the PRSS method are found to be more ecient than their respective counterparts for normal distribution, even in presence of errors in ranking.


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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