Efficient imputation methods in case of measurement errors

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 approximat...

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Veröffentlicht in:Heliyon 2024-03, Vol.10 (6), p.e26864-e26864, Article e26864
Hauptverfasser: Kumar, Anoop, Bhushan, Shashi, Shukla, Shivam, Bakr, M.E., Alshangiti, Arwa M., Balogun, Oluwafemi Samson
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Sprache:eng
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Zusammenfassung: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.
ISSN:2405-8440
2405-8440
DOI:10.1016/j.heliyon.2024.e26864