Properties of Estimators of the Finite Population Distribution Function
研究了有限总体分布函数的两种主要估计量，在给定模型下比较它们的大样本均方误差，发现没有一种估计量普遍更优，并指出了模型正确时模型估计量仍可能表现不佳的情形。
Two leading estimators of the finite population distribution function are studied. Their large-sample mean squared errors are compared, under a given model. Neither estimator is universally better; circumstances are identified where the model-based estimator would do poorly, despite employing the correct model.