Variance Estimation Using Auxiliary Information
研究了在辅助信息可用时多种抽样设计下的方差估计量，比较了它们的偏差和均方误差，并通过蒙特卡洛模拟展示了优于常用估计量的表现。
Abstract Variance estimators under several sample designs are proposed and compared when auxiliary information is available. Improvement of the bias and mean squared error over some estimators commonly used in practice is illustrated. A Monte Carlo comparison of the estimators is also presented.