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Design-based ranked set sampling using auxiliary variables
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AI
DOI：10.1007/s10651-004-4187-8.png)
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Abstract
En 中文
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.
Keywords:
auxiliary information
ratio estimator
regression estimator
relative precision
sampling design
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