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Optimal use of two auxiliary variables in double sampling

机译:在双采样中最佳使用两个辅助变量

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Double sampling scheme is used when cheap auxiliary variables may be measured to improve the estimation of a finite population parameter. Several estimators for population mean, ratio of means and variance are available, when two dependent samples are drawn. However, there are few proposals for the case of independent samples. In this paper both cases of dependent and independent samples are dealt with. A general approach for estimating a finite population parameter is given, showing that all the proposed estimators are particular cases of the same general class. The minimum variance bound for any estimator in this class is provided (at the first order of approximation). Furthermore, an optimal estimator which reaches this minimum is found.
机译:当可以测量便宜的辅助变量以改善有限总体参数的估计时,将使用双采样方案。当绘制两个相关样本时,可以使用几种人口均值,均值比和方差的估计量。但是,关于独立样本的建议很少。在本文中,都处理了相关样本和独立样本的情况。给出了一种用于估计有限总体参数的通用方法,该方法表明所有提出的估计量都是同一通用类别的特殊情况。提供了此类中任何估计量的最小方差界限(以近似的第一阶)。此外,找到达到该最小值的最佳估计量。

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