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...

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Main Authors: Shashi Bhushan, Anoop Kumar, Shivam Shukla, M.E. Bakr, Yusra A. Tashkandy, Md. Moyazzem Hossain
Format: Article
Language:English
Published: Elsevier 2023-05-01
Series:Alexandria Engineering Journal
Subjects:
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.
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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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