Survey Design Under the Regression Superpopulation Model
研究了在线性回归超总体模型下如何构建样本设计和估计量，使用预期方差作为评价概率设计和模型无偏预测的标准，并构造了模型无偏且设计一致的回归预测。
Abstract The construction of sample designs and estimators under a linear regression superpopulation model is considered. The anticipated variance, the variance of the predictor computed with respect to the sampling design and the superpopulation model, is used as a criterion for evaluating probability designs and model-unbiased predictors. Regression predictors that are model unbiased and design consistent are constructed.