Abstract
The Taguchi's (2005) T-method belongs to the MT (Mahalanobis Taguchi) system, which is a representative method in quality engineering. The T-method is used for prediction or estimation in fields such as economics and weather forecasting.
Masuda (2012) pointed out that the T-method has the advantage of analyzing missing data, which was not available in previous multiple regression analysis methods. The T-method integrates the results of single regression analysis. Therefore, it can analyze data including missing data without processing the missing data. When the sample size is small and multiple items are missing, the previous single imputation method may not complement the missing value in some cases.
Therefore, this study aims to propose the T-method along with improvements to analyze data including missing values without deleting them. Then, we propose a new single imputation method using the calculation procedure, and compare it with the previous single imputation method.
