A ranked set sampling protocol is proposed when an auxiliary variable is available in addition to the target variable in sample surveys. The protocol may be practically carried out without additional sampling effort or costs. Under the suggested sampling scheme, the estimators usually adopted in surveys with auxiliary information - such as the ratio estimator or the regression estimator - display surprising theoretical properties as well as high performance in practice.
Barabesi, L., Marcheselli, M. (2004). Design-based ranked set sampling using auxiliary variables. ENVIRONMENTAL AND ECOLOGICAL STATISTICS, 11(4), 415-430 [10.1007/s10651-004-4187-8].
Design-based ranked set sampling using auxiliary variables
Barabesi, Lucio;Marcheselli, Marzia
2004-01-01
Abstract
A ranked set sampling protocol is proposed when an auxiliary variable is available in addition to the target variable in sample surveys. The protocol may be practically carried out without additional sampling effort or costs. Under the suggested sampling scheme, the estimators usually adopted in surveys with auxiliary information - such as the ratio estimator or the regression estimator - display surprising theoretical properties as well as high performance in practice.
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https://hdl.handle.net/11365/2723
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