Properties of Estimators of the Finite Population Distribution Function
有限总体分布函数估计量的性质
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.