Efficient imputation methods in case of measurement errors
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Date
2024-02
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Abstract
This manuscript develops few efficient difference and ratio kinds of imputations to handle the
situation of missing observations given that these observations are polluted by the measurement
errors (ME). The mean square errors of the developed imputations are studied to the primary
degree approximation by adopting Taylor series expansion. The proposed imputations are equated
with the latest existing imputations presented in the literature. The execution of the proposed
imputations is assessed by utilizing a broad empirical study utilizing some real and hypothetically
created populations. Appropriate remarks are made for sampling respondents regarding practical
applications