Rodyti trumpą aprašą

dc.contributor.authorChadyšas, Viktoras
dc.contributor.authorKrapavickaitė, Danutė
dc.date.accessioned2023-09-18T16:33:24Z
dc.date.available2023-09-18T16:33:24Z
dc.date.issued2016
dc.identifier.issn1392-5113
dc.identifier.other(BIS)VGT02-000031402
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/114857
dc.description.abstractThe combined ratio-type estimators of the finite population total and their variances in the case of sample rotation for two-phase and four-phase sampling schemes are constructed in the paper. Combined estimators of the finite population total without and with the use of auxiliary information known from the previous survey are built. Two types of sampling design are used for sample selection in each of the phases: simple random sampling without replacement and successive sampling without replacement with probabilities proportional to size. A simulation study, based on the real data, is performed, and the accuracy of the estimators proposed is compared.eng
dc.formatPDF
dc.format.extentp. 241-260
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyDOAJ
dc.relation.isreferencedbyChemical abstracts
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.source.urihttps://doi.org/10.15388/NA.2016.2.7
dc.subjectFM03 - Fizinių, technologinių ir ekonominių procesų matematiniai modeliai ir metodai / Mathematical models and methods of physical, technological and economic processes
dc.titleEstimation of the current population total for a four-phase sampling design
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references22
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.subject.researchfieldN 001 - Matematika / Mathematics
dc.subject.ltspecializationsL103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society
dc.subject.enSample rotation
dc.subject.enSuccessive sampling
dc.subject.enRatio estimator
dc.subject.enComposite estimator
dcterms.sourcetitleNonlinear analysis: modelling and control
dc.description.issueno. 2
dc.description.volumeVol. 21
dc.publisher.nameInstitute of Mathematics and Informatics
dc.publisher.cityVilnius
dc.identifier.doi000374199600007
dc.identifier.doi10.15388/NA.2016.2.7
dc.identifier.elaba15331570


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