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Quartile Double Rankled Set Sampling for Estimating the Population Mean

Quartile Double Rankled Set Sampling for Estimating the Population Mean Abstract Quartile Double Ranked Set Sampling (QDRSS) is investigated for estimating the population mean. The QDRSS estimators are compared to the simple random sampling (SRS), ranked set sampling (RSS) and quartile ranked set sampling (QRSS) estimators. It is shown that, the QDRSS estimators are unbiased for the population mean when the underlying distribution is symmetric, and have small biases when the underlying distribution is asymmetric. It turns out that the QDRSS is superior to the SRS, RSS and QRSS based on the same number of measured units. A real data set of “trees' olive yields” is used to illustrate the method. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Economic Quality Control de Gruyter

Quartile Double Rankled Set Sampling for Estimating the Population Mean

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Publisher
de Gruyter
Copyright
Copyright © 2009 by the
ISSN
1869-6147
eISSN
1869-6147
DOI
10.1515/EQC.2009.243
Publisher site
See Article on Publisher Site

Abstract

Abstract Quartile Double Ranked Set Sampling (QDRSS) is investigated for estimating the population mean. The QDRSS estimators are compared to the simple random sampling (SRS), ranked set sampling (RSS) and quartile ranked set sampling (QRSS) estimators. It is shown that, the QDRSS estimators are unbiased for the population mean when the underlying distribution is symmetric, and have small biases when the underlying distribution is asymmetric. It turns out that the QDRSS is superior to the SRS, RSS and QRSS based on the same number of measured units. A real data set of “trees' olive yields” is used to illustrate the method.

Journal

Economic Quality Controlde Gruyter

Published: Oct 1, 2009

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