New logarithmic type imputation techniques in presence of measurement errors
Several imputation techniques have been constructed to sort out the missing data issue. However, there are few papers that address the missing data issue in measurement error (ME). This article proposes some logarithmic type imputation techniques to tackle the missing data issue when the data are co...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
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Elsevier
2023-05-01
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Series: | Alexandria Engineering Journal |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016823001977 |
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author | Shashi Bhushan Anoop Kumar Shivam Shukla M.E. Bakr Yusra A. Tashkandy Md. Moyazzem Hossain |
author_facet | Shashi Bhushan Anoop Kumar Shivam Shukla M.E. Bakr Yusra A. Tashkandy Md. Moyazzem Hossain |
author_sort | Shashi Bhushan |
collection | DOAJ |
description | Several imputation techniques have been constructed to sort out the missing data issue. However, there are few papers that address the missing data issue in measurement error (ME). This article proposes some logarithmic type imputation techniques to tackle the missing data issue when the data are commingled with ME. The proffered imputation techniques’ mean square error is calculated to a first order approximation. The relative performance of the suggested imputation techniques against the contemporary imputation techniques is performed. Furthermore, the theoretical results are exemplified using an extensive simulation study based on artificially generated population. The appropriate recommendations have been suggested to the surveyors for real-life problems. |
first_indexed | 2024-04-09T18:58:25Z |
format | Article |
id | doaj.art-a7f5b66eaf0445649dd565b1e5eb09c9 |
institution | Directory Open Access Journal |
issn | 1110-0168 |
language | English |
last_indexed | 2024-04-09T18:58:25Z |
publishDate | 2023-05-01 |
publisher | Elsevier |
record_format | Article |
series | Alexandria Engineering Journal |
spelling | doaj.art-a7f5b66eaf0445649dd565b1e5eb09c92023-04-09T05:45:57ZengElsevierAlexandria Engineering Journal1110-01682023-05-0171707730New logarithmic type imputation techniques in presence of measurement errorsShashi Bhushan0Anoop Kumar1Shivam Shukla2M.E. Bakr3Yusra A. Tashkandy4Md. Moyazzem Hossain5Department of Statistics, University of Lucknow, Lucknow 226007, IndiaDepartment of Statistics, Amity University, Lucknow 226028, India; Corresponding author.Department of Mathematics & Statistics, Dr. Shakuntala Misra National Rehabilitation University, Lucknow 226017, 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 ArabiaSchool of Mathematics, Statistics & Physics, Newcastle University, Newcastle upon Tyne, United KingdomSeveral imputation techniques have been constructed to sort out the missing data issue. However, there are few papers that address the missing data issue in measurement error (ME). This article proposes some logarithmic type imputation techniques to tackle the missing data issue when the data are commingled with ME. The proffered imputation techniques’ mean square error is calculated to a first order approximation. The relative performance of the suggested imputation techniques against the contemporary imputation techniques is performed. Furthermore, the theoretical results are exemplified using an extensive simulation study based on artificially generated population. The appropriate recommendations have been suggested to the surveyors for real-life problems.http://www.sciencedirect.com/science/article/pii/S111001682300197762D0562D10 |
spellingShingle | Shashi Bhushan Anoop Kumar Shivam Shukla M.E. Bakr Yusra A. Tashkandy Md. Moyazzem Hossain New logarithmic type imputation techniques in presence of measurement errors Alexandria Engineering Journal 62D05 62D10 |
title | New logarithmic type imputation techniques in presence of measurement errors |
title_full | New logarithmic type imputation techniques in presence of measurement errors |
title_fullStr | New logarithmic type imputation techniques in presence of measurement errors |
title_full_unstemmed | New logarithmic type imputation techniques in presence of measurement errors |
title_short | New logarithmic type imputation techniques in presence of measurement errors |
title_sort | new logarithmic type imputation techniques in presence of measurement errors |
topic | 62D05 62D10 |
url | http://www.sciencedirect.com/science/article/pii/S1110016823001977 |
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