Simulation analysis of non-respondent information in context of small domain
In the real-world, there are various situations when all units are not accessible of the respondent called unit non-response. The effect of unit non-response is a tricky matter for estimating the total number of unit. The present work highlights the interest about subpopulations (domains) in two aff...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-03-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024029281 |
| _version_ | 1827294068891189248 |
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| author | Ashutosh Ashutosh Marius Stefan Piyush Kant Rai Walid Emam Soofia Iftikhar Malik Muhammad Anas |
| author_facet | Ashutosh Ashutosh Marius Stefan Piyush Kant Rai Walid Emam Soofia Iftikhar Malik Muhammad Anas |
| author_sort | Ashutosh Ashutosh |
| collection | DOAJ |
| description | In the real-world, there are various situations when all units are not accessible of the respondent called unit non-response. The effect of unit non-response is a tricky matter for estimating the total number of unit. The present work highlights the interest about subpopulations (domains) in two affairs: i. if domains total of the supportive information is accessible ii. if domains total of the supportive variable does not access. The government needs to be introducing the actual facilities in these small domains. The supportive information is used to find out the estimate of the non respondent information and to apply this information for desired domains. Sometimes, it has been found that the accessible auxiliary variable for the domains might be positive shape. Therefore, it develops an appropriate model that has positive skewness. The present context highlighted the indirect method using a power-based estimation with calibration approach. By combining power based estimation and calibration technique, it is possible to obtain more accurate estimates for intended small domains. Even the supportive information is positively biased. This approach helps us in mitigating the effect of non-respondent and improving the overall reliability of the estimators. The simulation was conducted for different sizes 70 and 90 when nonresponse variable in the study variable. The results show that investigated power-based estimate provides better option over relevant exponential, ratio, and generalized regression estimators for intended domains. |
| first_indexed | 2024-04-24T13:50:05Z |
| format | Article |
| id | doaj.art-1464b18fa7254934bb943576980f560a |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-24T13:50:05Z |
| publishDate | 2024-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-1464b18fa7254934bb943576980f560a2024-04-04T05:04:17ZengElsevierHeliyon2405-84402024-03-01106e26897Simulation analysis of non-respondent information in context of small domainAshutosh Ashutosh0Marius Stefan1Piyush Kant Rai2Walid Emam3Soofia Iftikhar4Malik Muhammad Anas5Department of Statistics, Allahabad Degree College, University of Allahabad, Prayagraj, 211003, India; Corresponding author.Department of Applied Mathematics, Faculty of Applied Sciences, Polytechnic University of Bucharest, Splaiul Independentei, nr. 313, RO-060042, USADepartment of Statistics, Institute of Science, Banaras Hindu University, Varanasi, 221005, IndiaDepartment of Statistics and Operations Research, Faculty of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi ArabiaDepartment of Statistics, Shaheed Benazir Bhutto Women University Peshawar, KP, PakistanDepartment of Economics and Statistics, University of Salerno, Fisciano, Salerno, 84084, ItalyIn the real-world, there are various situations when all units are not accessible of the respondent called unit non-response. The effect of unit non-response is a tricky matter for estimating the total number of unit. The present work highlights the interest about subpopulations (domains) in two affairs: i. if domains total of the supportive information is accessible ii. if domains total of the supportive variable does not access. The government needs to be introducing the actual facilities in these small domains. The supportive information is used to find out the estimate of the non respondent information and to apply this information for desired domains. Sometimes, it has been found that the accessible auxiliary variable for the domains might be positive shape. Therefore, it develops an appropriate model that has positive skewness. The present context highlighted the indirect method using a power-based estimation with calibration approach. By combining power based estimation and calibration technique, it is possible to obtain more accurate estimates for intended small domains. Even the supportive information is positively biased. This approach helps us in mitigating the effect of non-respondent and improving the overall reliability of the estimators. The simulation was conducted for different sizes 70 and 90 when nonresponse variable in the study variable. The results show that investigated power-based estimate provides better option over relevant exponential, ratio, and generalized regression estimators for intended domains.http://www.sciencedirect.com/science/article/pii/S240584402402928162D0562G05 |
| spellingShingle | Ashutosh Ashutosh Marius Stefan Piyush Kant Rai Walid Emam Soofia Iftikhar Malik Muhammad Anas Simulation analysis of non-respondent information in context of small domain Heliyon 62D05 62G05 |
| title | Simulation analysis of non-respondent information in context of small domain |
| title_full | Simulation analysis of non-respondent information in context of small domain |
| title_fullStr | Simulation analysis of non-respondent information in context of small domain |
| title_full_unstemmed | Simulation analysis of non-respondent information in context of small domain |
| title_short | Simulation analysis of non-respondent information in context of small domain |
| title_sort | simulation analysis of non respondent information in context of small domain |
| topic | 62D05 62G05 |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024029281 |
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