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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-03-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024028950 |
| _version_ | 1827294068471758848 |
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| author | Anoop Kumar Shashi Bhushan Shivam Shukla M.E. Bakr Arwa M. Alshangiti Oluwafemi Samson Balogun |
| author_facet | Anoop Kumar Shashi Bhushan Shivam Shukla M.E. Bakr Arwa M. Alshangiti Oluwafemi Samson Balogun |
| author_sort | Anoop Kumar |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-24T13:50:03Z |
| format | Article |
| id | doaj.art-0f0bd800326f46e9958511a981c99a86 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-24T13:50:03Z |
| publishDate | 2024-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-0f0bd800326f46e9958511a981c99a862024-04-04T05:04:17ZengElsevierHeliyon2405-84402024-03-01106e26864Efficient imputation methods in case of measurement errorsAnoop Kumar0Shashi Bhushan1Shivam Shukla2M.E. Bakr3Arwa M. Alshangiti4Oluwafemi Samson Balogun5Department of Statistics, Central University of Haryana, Mahendergarh, 123031, IndiaDepartment of Statistics, University of Lucknow, Lucknow, 226007, India; Corresponding author.Department of Statistics, Amity University Uttar Pradesh, Lucknow, 226028, IndiaDepartment of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi ArabiaDepartment of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi ArabiaDepartment of Computing, Faculty of Science, Forestry and Technology, University of Eastern Finland, FI-70211, FinlandThis 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.http://www.sciencedirect.com/science/article/pii/S2405844024028950ImputationMeasurement errorsDifference and ratio estimatorsMissing data |
| spellingShingle | Anoop Kumar Shashi Bhushan Shivam Shukla M.E. Bakr Arwa M. Alshangiti Oluwafemi Samson Balogun Efficient imputation methods in case of measurement errors Heliyon Imputation Measurement errors Difference and ratio estimators Missing data |
| title | Efficient imputation methods in case of measurement errors |
| title_full | Efficient imputation methods in case of measurement errors |
| title_fullStr | Efficient imputation methods in case of measurement errors |
| title_full_unstemmed | Efficient imputation methods in case of measurement errors |
| title_short | Efficient imputation methods in case of measurement errors |
| title_sort | efficient imputation methods in case of measurement errors |
| topic | Imputation Measurement errors Difference and ratio estimators Missing data |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024028950 |
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