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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Bibliographic Details
Published inHeliyon Vol. 10; no. 6; p. e26864
Main Authors Kumar, Anoop, Bhushan, Shashi, Shukla, Shivam, Bakr, M.E., Alshangiti, Arwa M., Balogun, Oluwafemi Samson
Format Journal Article
LanguageEnglish
Published England Elsevier Ltd 30.03.2024
Elsevier
Subjects
Difference and ratio estimators
Imputation
Measurement errors
Missing data
Measurement errors
Missing data
Imputation
Difference and ratio estimators
62D05
62D10
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Summary: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.
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ISSN:2405-8440
2405-8440
DOI:10.1016/j.heliyon.2024.e26864