论文标题
普遍的回归估计给定不完全匹配的辅助数据
Generalised regression estimation given imperfectly matched auxiliary data
论文作者
论文摘要
广义回归估计允许人们在调查采样中使用可用的辅助信息。当辅助数据与样品单元无法完美匹配时，我们开发了三种类型的广义回归估计器，因此标准估计器不可应用。推理仍然基于设计。提出的估计器的一致性是通过施工给出的，或者可以在观察到的样品和链接下测试。可以估计均方误差。模拟研究用于探索所提出的估计量的潜力。
Generalised regression estimation allows one to make use of available auxiliary information in survey sampling. We develop three types of generalised regression estimator when the auxiliary data cannot be matched perfectly to the sample units, so that the standard estimator is inapplicable. The inference remains design-based. Consistency of the proposed estimators is either given by construction or else can be tested given the observed sample and links. Mean square errors can be estimated. A simulation study is used to explore the potentials of the proposed estimators.
