利用调查数据中完全辅助信息的广义模型校正方法(英文)

An Extended Model-calibration Approach to Using Complete Auxiliary Information from Survey Data

推广了模型校正方法去估计总体和均值以外的总体参数.建议的模型校正估计可以处理任何线性或非线性的工作模型,且在线性模型的情形下变为广义回归估计.通过Kronecker积,可把模型校正方法用于估计双线性参数,特别地,去估计方差和协方差.

By viewing model-calibration as an algebraic problem, the model-calibration technique to estimate population parameters other than totals and means is extended. The proposed model-calibration estimators can handle any linear or nonlinear working models and reduce to the generalized regression estimators in the linear model case. It is shown that how through the Kronecker product the model-calibration approach can be used to estimate bilinear parameters, in particular, to estimate variances and covariances.