Eichhorn模型中缺失数据的一类比插补方法

A Class Ratio Imputation Method for Missing Data in the Eichhorn Model

对于数量特征敏感问题调查的项目无回答问题,恰当地使用辅助信息可以提高调查效率。已有多种利用辅助信息的比插补方法,提出一类简单、实用的比插补方法,构造最优估计量,对总体敏感指标进行估计,得出了估计量的均方方差,通过理论比较和数值模拟得出提出的估计量的效率优于传统的估计量。

The appropriate use of auxiliary information can improve the efficiency of the survey for item non-response questions on quantitative characteristic sensitive surveys.There are several methods of ratio imputation using auxiliary information,and to summarise some of them,a simple and practical type of ratio imputation method is proposed to estimate the sensitive indicators of the population,and the mean squared error of the estimated quantity is derived,and the efficiency of the proposed estimator is higher than that of the traditional estimator through theoretical comparison and numerical simulation.