Performance Comparison of Imputation Methods for Mixed Data Missing at Random with Small and Large Sample Data Set with Different Variability
Kyei Baffour Afari & Christina Nicole Holder Lewis · Asian Journal of Probability and Statistics · 2022
One of the concerns in the field of statistics is the presence of missing data, which leads to bias in parameter estimation and inaccurate results. However, the multiple imputation procedure is a remedy for handling missing data. This study looked at the best multiple imputation...
Open access
Research Article
10.9734/ajpas/2022/v20i2416