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http://krishi.icar.gov.in/jspui/handle/123456789/7753
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Rohan Kumar Raman | en_US |
dc.contributor.author | U.C. Sud | en_US |
dc.contributor.author | Hukum Chandra | en_US |
dc.date.accessioned | 2018-10-11T15:39:44Z | - |
dc.date.available | 2018-10-11T15:39:44Z | - |
dc.date.issued | 2016-04-18 | - |
dc.identifier.citation | Not Available | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/7753 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Using the calibration approach, the Hansen and Hurwitz (1946) technique-based estimator is developed for the situation where the information on auxiliary variable is assumed known for the entire population units. The double-sampling case has also been dealt with. Expressions for the estimator of population total, its variance, and variance estimator are developed. The theoretical results are illustratedwith the help of simulation studies. Simulation results show that the proposed calibration approach-based estimator outperforms the Hansen and Hurwitz estimator | en_US |
dc.language.iso | English | en_US |
dc.publisher | Taylor & Francis | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Calibration approach | en_US |
dc.subject | Hansen and Hurwitz estimator | en_US |
dc.subject | Non response | en_US |
dc.subject | Population total | en_US |
dc.subject | Subsampling of non respondents | en_US |
dc.title | Calibration approach for estimating population total with subsampling of non respondents under single- and two-phase sampling | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Research Paper | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Communications in Statistics - Theory and Methods | en_US |
dc.publication.volumeno | 45:10 | en_US |
dc.publication.pagenumber | 2842-2856 | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.sourceUrl | DOI: 10.1080/03610926.2014.889164 | en_US |
dc.publication.authorAffiliation | ICAR::Central Inland Fisheries Research Institute | en_US |
dc.publication.authorAffiliation | ICAR::Indian Agricultural Statistics Research Institute | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.naasrating | 6.61 | en_US |
Appears in Collections: | FS-CIFRI-Publication |
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