General ranked set sampling with cost considerations

Wang, You-Gan, Chen, Zehua, & Liu, Jianbin (2004) General ranked set sampling with cost considerations. Biometrics, 60(2), pp. 556-561.

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Nahhas, Wolfe, and Chen (2002, Biometrics 58, 964-971) considered optimal set size for ranked set sampling (RSS) with fixed operational costs. This framework can be very useful in practice to determine whether RSS is beneficial and to obtain the optimal set size that minimizes the variance of the population estimator for a fixed total cost. In this article, we propose a scheme of general RSS in which more than one observation can be taken from each ranked set. This is shown to be more cost-effective in some cases when the cost of ranking is not so small. We demonstrate using the example in Nahhas, Wolfe, and Chen (2002, Biometrics 58, 964-971), by taking two or more observations from one set even with the optimal set size from the RSS design can be more beneficial.

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14 citations in Scopus
14 citations in Web of Science®
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ID Code: 90522
Item Type: Journal Article
Refereed: Yes
Keywords: cost-effective design, ranked set sampling, sampling efficiency, order-statistics, regression, size
DOI: 10.1111/j.0006-341X.2004.00204.x
ISSN: 0006-341X
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 18 Nov 2015 01:03
Last Modified: 26 Jun 2017 10:01

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