Journal of the Korean Data and Information Science Society
- Volume 17 Issue 3
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- Pages.871-888
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- 2006
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- 1598-9402(pISSN)
A Study on Imputation using Adjusted Cohen Method
- Chung, Sung-Suk (Div. of Mathematics and Statistical Informatics (Institute of Applied Statistics), Chonbuk National University) ;
- Chun, Young-Min (Dept. of Computer and Statistical Informatics, Chonbuk National University) ;
- Lee, Sun-Kyung (Dept. of Statistical Informatics, Chonbuk National University)
- Published : 2006.08.31
Abstract
Many studies have been done to develop procedures to deal with missing values. Most common method is to reassign the other values to the missing data. The purpose of our study is to suggest adjusted Cohen methods and to compare the efficiency of them with other methods through a simulation study. The adjusted Cohen methods use an auxiliary variable to arrange ranking of the variable with missing values. It leads to a reduced mean square error(MSE) compared with the Cohen method.