Application of A Class of Ratio Imputation in Eichhorn Model with Missing Data
Using the ratio imputation for missing data in the Eichhorn model,it improves the estimation ac-curacy of sensitive issues by utilizing auxiliary fully.When the numerical characteristics of auxiliary varia-bles are known,such as standard deviation,coefficient of variation,correlation coefficient,etc.The idea of constructing estimators in direct surveys by Walsh,Reddy,and Srivastava is borrowed,and a class of ratio imputation method is proposed for the population mean based on the numerical characteristics of auxiliary variables.Finally,through theoretical comparison and numerical simulation,it is concluded that the pro-posed imputation method is more efficient than the traditional methods.
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