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Study to Alter the Nuisance Effect of Non-Response Using Scrambled Mechanism

INTRODUCTION: In biometric sample surveys, our objective is to get ready-made information for future planning and policy implementations related to the subject matters of highly sensitive issues. In such situations, we apply randomized response/scrambled response techniques. There are many highly se...

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Autores principales: Singh, Chandraketu, Kamal, Mustafa, Singh, Garib Nath, Kim, Jong-Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8057831/
https://www.ncbi.nlm.nih.gov/pubmed/33889040
http://dx.doi.org/10.2147/RMHP.S294731
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author Singh, Chandraketu
Kamal, Mustafa
Singh, Garib Nath
Kim, Jong-Min
author_facet Singh, Chandraketu
Kamal, Mustafa
Singh, Garib Nath
Kim, Jong-Min
author_sort Singh, Chandraketu
collection PubMed
description INTRODUCTION: In biometric sample surveys, our objective is to get ready-made information for future planning and policy implementations related to the subject matters of highly sensitive issues. In such situations, we apply randomized response/scrambled response techniques. There are many highly sensitive issues which need to be examined over time as they may have a tendency to change. To get rid of these types of practical cases we need a scrambled response technique on successive occasions. METHODS: Using an additive and multiplicative technique, we proposed new effective scrambled response models to estimate the population mean of quantitative sensitive characteristics. Degree of privacy protection and unified measure approaches are used to examine the efficacy of the proposed models. Efficiency of the proposed models has been checked using MATLAB software. The utility of the proposed models under two occasions of successive sampling has been also explored using exponential-type estimators. Empirical and simulation studies are carried out to justify the proposition of the proposed estimators using MATLAB software. RESULTS: The percent relative efficiencies of the proposed models are always greater than 100 with respect to the well-known Bar-Lev et al model. In terms of degree of privacy protection, most of the values are greater than 0.5 and closer to 1. Similarly, the values of the proposed models are smaller with respect to the Bar-Lev et al model in terms of a unified measure approach. When the proposed scrambled response models are used on successive occasions, the percent relative efficiency is always found greater than 100 for all cases over its competitors. DISCUSSION: In this study, after deeply examining the properties of the proposed models, we found that the proposed models performed better over the well-known existing model. The proposed models may be used in human survey when we deal with highly sensitive issues. The proposed models also performed better when we utilized them in successive sampling. Hence, if sensitive characteristics change with time, the proposed estimators may be the best alternative to deal with these types of situations. MATHEMATICS SUBJECT CLASSIFICATION: 62D05.
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spelling pubmed-80578312021-04-21 Study to Alter the Nuisance Effect of Non-Response Using Scrambled Mechanism Singh, Chandraketu Kamal, Mustafa Singh, Garib Nath Kim, Jong-Min Risk Manag Healthc Policy Original Research INTRODUCTION: In biometric sample surveys, our objective is to get ready-made information for future planning and policy implementations related to the subject matters of highly sensitive issues. In such situations, we apply randomized response/scrambled response techniques. There are many highly sensitive issues which need to be examined over time as they may have a tendency to change. To get rid of these types of practical cases we need a scrambled response technique on successive occasions. METHODS: Using an additive and multiplicative technique, we proposed new effective scrambled response models to estimate the population mean of quantitative sensitive characteristics. Degree of privacy protection and unified measure approaches are used to examine the efficacy of the proposed models. Efficiency of the proposed models has been checked using MATLAB software. The utility of the proposed models under two occasions of successive sampling has been also explored using exponential-type estimators. Empirical and simulation studies are carried out to justify the proposition of the proposed estimators using MATLAB software. RESULTS: The percent relative efficiencies of the proposed models are always greater than 100 with respect to the well-known Bar-Lev et al model. In terms of degree of privacy protection, most of the values are greater than 0.5 and closer to 1. Similarly, the values of the proposed models are smaller with respect to the Bar-Lev et al model in terms of a unified measure approach. When the proposed scrambled response models are used on successive occasions, the percent relative efficiency is always found greater than 100 for all cases over its competitors. DISCUSSION: In this study, after deeply examining the properties of the proposed models, we found that the proposed models performed better over the well-known existing model. The proposed models may be used in human survey when we deal with highly sensitive issues. The proposed models also performed better when we utilized them in successive sampling. Hence, if sensitive characteristics change with time, the proposed estimators may be the best alternative to deal with these types of situations. MATHEMATICS SUBJECT CLASSIFICATION: 62D05. Dove 2021-04-16 /pmc/articles/PMC8057831/ /pubmed/33889040 http://dx.doi.org/10.2147/RMHP.S294731 Text en © 2021 Singh et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Singh, Chandraketu
Kamal, Mustafa
Singh, Garib Nath
Kim, Jong-Min
Study to Alter the Nuisance Effect of Non-Response Using Scrambled Mechanism
title Study to Alter the Nuisance Effect of Non-Response Using Scrambled Mechanism
title_full Study to Alter the Nuisance Effect of Non-Response Using Scrambled Mechanism
title_fullStr Study to Alter the Nuisance Effect of Non-Response Using Scrambled Mechanism
title_full_unstemmed Study to Alter the Nuisance Effect of Non-Response Using Scrambled Mechanism
title_short Study to Alter the Nuisance Effect of Non-Response Using Scrambled Mechanism
title_sort study to alter the nuisance effect of non-response using scrambled mechanism
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8057831/
https://www.ncbi.nlm.nih.gov/pubmed/33889040
http://dx.doi.org/10.2147/RMHP.S294731
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