Abstract

In the survey sampling, when the study and auxiliary variables are tolerably correlated, the ranks of an auxiliary variable also relate mutually with the study variable and thus by using these ranks as a valid mechanism, increases the accuracy of an estimator. In the current study, an enhanced estimator of the finite population mean is proposed that uses the ancillary information in form of the ranks of the auxiliary variable in stratified sampling design. Simulated as well as empirical evidence is provided for the efficiency confirmation of proposed estimators.

中文翻译：

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使用双重辅助信息的均值校准估计

摘要

在调查抽样中，当研究变量和辅助变量具有可容忍的相关性时，辅助变量的等级也与研究变量相互关联，因此通过使用这些等级作为有效机制，可以提高估计量的准确性。在当前的研究中，提出了一种有限总体均值的增强估计量，它在分层抽样设计中使用辅助变量的等级形式的辅助信息。为提议的估计量的效率确认提供了模拟和经验证据。