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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/43152
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Neeraj Tiwari | en_US |
dc.contributor.author | U. C. Sud | en_US |
dc.date.accessioned | 2020-12-11T08:55:12Z | - |
dc.date.available | 2020-12-11T08:55:12Z | - |
dc.date.issued | 2012-01-01 | - |
dc.identifier.citation | Not Available | en_US |
dc.identifier.isbn | Not Available | - |
dc.identifier.issn | 0361-0926 | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/43152 | - |
dc.description | Not Available | en_US |
dc.description.abstract | The sample coordination problem involves maximization or minimization of overlap of sampling units in different/repeated surveys. Several optimal techniques using transportation theory, controlled rounding, and controlled selection have been suggested in literature to solve the sample coordination problem. In this article, using the multiple objective programming, we propose a method for sample coordination which facilitates variance estimation using the Horvitz-Thompson estimator. The proposed procedure can be applied to any two-sample surveys having identical universe and stratification. Some examples are discussed to demonstrate the utility of the proposed procedure. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | COMMUNICATIONS IN STATISTICS-THEORY AND METHODS; TAYLOR & FRANCIS INC; 325 CHESTNUT ST, SUITE 800, PHILADELPHIA, PA 19106 USA; PHILADELPHIA | en_US |
dc.relation.ispartofseries | Not Available | - |
dc.subject | Controlled selection | en_US |
dc.subject | Horvitz-Thompson estimator | en_US |
dc.subject | Multiple objective function | en_US |
dc.subject | Sample coordination | en_US |
dc.subject | Variance estimation | en_US |
dc.subject | PROBABILITIES | en_US |
dc.subject | SELECTION | en_US |
dc.subject | REPLACEMENT | en_US |
dc.subject | POPULATION | en_US |
dc.title | An Optimal Procedure for Sample Coordination Using Multiple Objective Functions and Nearest Proportional to IPPS Size Sampling Designs | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Article | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Communications in Statistics - Theory and Methods | en_US |
dc.publication.volumeno | 41 (11) | en_US |
dc.publication.pagenumber | 2014-2033 | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.sourceUrl | http://dx.doi.org/10.1080/03610926.2011.555045 | en_US |
dc.publication.sourceUrl | PubMed id: Not Available | en_US |
dc.publication.sourceUrl | Web of Science ID: WOS:000304527900008 | 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 | - |
Appears in Collections: | AEdu-IASRI-Publication |
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