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dc.contributor.authorKrapavickaitė, Danutė
dc.date.accessioned2023-09-18T18:43:45Z
dc.date.available2023-09-18T18:43:45Z
dc.date.issued2011
dc.identifier.issn0363-1672
dc.identifier.other(BIS)VGT02-000022998
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/131043
dc.description.abstractDesign-based and design-based model-assisted estimator of total for a variable having many zero values has high variance. The censored regression (tobit) model-based estimators of a finite-population total have been proposed earlier. The aim of the current research is to apply the semiparametric model to a variable with many zero values, to estimate the population total by model-based and model-assisted estimators, and to compare them with other known estimators by simulation.eng
dc.formatPDF
dc.format.extentp. 370-384
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyMathematical Reviews
dc.relation.isreferencedbyCIS: Current Index to Statistics
dc.relation.isreferencedbySpringerLink
dc.relation.isreferencedbyZentralblatt MATH (zbMATH)
dc.relation.isreferencedbyVINITI
dc.relation.isreferencedbyMathSciNet
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.source.urihttps://doi.org/10.1007/s10986-011-9133-5
dc.titleSome models for estimation of total of a study variable having many zero values
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsIDS Number: 814RQ
dcterms.references34
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionMatematikos ir informatikos institutas Vilniaus Gedimino technikos universitetas Vilniaus universitetas
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.subject.researchfieldN 001 - Matematika / Mathematics
dc.subject.enFinite population
dc.subject.enSemiparametric model
dc.subject.enModel-based estimator
dc.subject.enModel-assisted estimator
dc.subject.enBias
dcterms.sourcetitleLithuanian mathematical journal
dc.description.issueno. 3
dc.description.volumeVol. 51
dc.publisher.nameSpringer
dc.publisher.cityNew York
dc.identifier.doiVUB02-000040874
dc.identifier.doi000294475200008
dc.identifier.doi10.1007/s10986-011-9133-5
dc.identifier.elaba3948540


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