KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/82821
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Rajeev Kumar | en_US |
dc.contributor.author | Anil Rai | en_US |
dc.contributor.author | Tauqueer Ahmad | en_US |
dc.contributor.author | Ankur Biswas | en_US |
dc.contributor.author | P.M. Sahoo | en_US |
dc.contributor.author | P.K. Moury | en_US |
dc.date.accessioned | 2024-05-14T10:24:21Z | - |
dc.date.available | 2024-05-14T10:24:21Z | - |
dc.date.issued | 2024-02-22 | - |
dc.identifier.citation | Kumar, R., Rai, A., Ahmad, T., Biswas, A., Sahoo, P.M. and Moury, P.K. (2024). Rescaling bootstrap variance estimation technique under dual frame surveys with unknown domain sizes. Communications in Statistics - Simulation and Computation, DOI: 10.1080/03610918.2024.2314671 | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/82821 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Dual frame (DF) surveys are a special case of multiple frame (MF) surveys considering two frames covering the entire population. Dual frame surveys are applicable in those situations, where, one frame may cover the entire population but is very expensive to sample; so an alternate frame may be available that does not cover the entire population but is easily available. Unbiased variance estimation in dual frame surveys can be difficult and complicated than corresponding estimators under single frame surveys. Again, the variance of dual frame estimator involves population variances of the individual domains which are generally unknown. Due to this reason, obtaining an unbiased estimate of the variance of the dual frame estimator is quite complex in the case of dual frame surveys. In this article, we propose a Post-stratified Rescaling Bootstrap with Unknown Domain size (PstRBUD) method for variance estimation of the dual frame estimator of population total. The proposed rescaled bootstrap method was compared to that of standard bootstrap methods in simulation analysis. The proposed PstRBUD method provides an unbiased estimation of the variance of the dual frame estimator of population total, according to simulation results. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | Not Available | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Domain estimation | en_US |
dc.subject | Dual frame surveys | en_US |
dc.subject | Rescaling bootstrap | en_US |
dc.subject | Rescaling factor | en_US |
dc.title | Rescaling bootstrap variance estimation technique under dual frame surveys with unknown domain sizes | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Journal | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Communications in Statistics - Simulation and Computation | en_US |
dc.publication.volumeno | Not Available | en_US |
dc.publication.pagenumber | Not Available | en_US |
dc.publication.divisionUnit | DIvision of Sample Surveys | en_US |
dc.publication.sourceUrl | DOI: 10.1080/03610918.2024.2314671 | en_US |
dc.publication.authorAffiliation | ICAR::Indian Agricultural Statistics Research Institute | en_US |
dc.publication.authorAffiliation | ICAR::Indian Council of Agricultural Research Headquarters | en_US |
dc.publication.authorAffiliation | Amar Singh College, Bulandshahr, UP | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.journaltype | Included NAAS journal list | en_US |
dc.publication.naasrating | 6.9 | en_US |
dc.publication.impactfactor | 0.9 | en_US |
Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
There are no files associated with this item.
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.