Indirect methods of imputation of missing data based on available units

作者:

Highlights:

摘要

One of the most difficult problems confronting investigators who analyze data from surveys is how to treat missing data. Many statistical procedures cannot be used immediately if any values are missing. Imputation of missing data before starting statistical analysis is then necessary. This paper proposes imputation methods of the mean based on indirect estimators of available cases. A complete simulation study was performed to test the proposed techniques.

论文关键词:Auxiliary information,Missing data,Horvitz–Thompson estimator,Simple random sampling,Stratified random sampling,Imputation

论文评审过程:Available online 5 November 2004.

论文官网地址:https://doi.org/10.1016/j.amc.2004.04.102