The Comparison of Mean Estimator by Imputation Methods under the Different Mechanisms of Missing Data
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Abstract
The purpose of this research was to compare the different imputation methods including Gira’s method, Singh's method, and Aliyu's method under the missing data mechanisms. There were three types of missing data mechanisms for estimation of the mean values: missing completely at random, missing at random, and missing not at random. In this study, the data was conducted through 10,000 simulations. The sample sizes were set at 30, 100, and 400 for a variety of missing data scenarios. The percentages of missing data were 5, 10 and 15. The criteria used for comparison were the mean squared error and the percentage of relative efficiency. From the results, it was found that the appropriate methods for estimating the mean values were Singh’s method, Aliyu’s method, and Gira’s method, respectively.
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