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dc.contributor.authorChadyšas, Viktoras
dc.contributor.authorKrapavickaitė, Danutė
dc.date.accessioned2023-09-18T19:28:02Z
dc.date.available2023-09-18T19:28:02Z
dc.date.issued2005
dc.identifier.issn1392-5113
dc.identifier.other(BIS)VGT02-000011050
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/139563
dc.description.abstractEstimator of finite population parameter – ratio of totals of two variables – is investigated by modelling in the case of simple random sampling. Traditional estimator of the ratio is compared with the calibrated estimator of the ratio introduced by Plikusas [1]. The Taylor series expansion of the estimators are used for the expressions of approximate biases and approximate variances [2]. Some estimator of bias is introduced in this paper. Using data of artificial population the accuracy of two estimators of the ratio is compared by modelling. Dependence of the estimates of mean square error of the estimators of the ratio on the correlation coefficient of variables which are used in the numerator and denominator, is also shown in the modelling.eng
dc.formatPDF
dc.format.extentp. 333-342
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyVINITI
dc.relation.isreferencedbyChemical abstracts
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyZentralblatt MATH (zbMATH)
dc.source.urihttps://doi.org/10.15388/NA.2005.10.4.15113
dc.titleInvestigation of accuracy of a calibrated estimator of a ratio by modelling
dc.typeStraipsnis kitoje DB / Article in other DB
dcterms.references4
dc.type.pubtypeS3 - Straipsnis kitoje DB / Article in other DB
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionVilniaus Gedimino technikos universitetas Matematikos ir informatikos institutas
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.subject.researchfieldN 001 - Matematika / Mathematics
dc.subject.enPopulation, finite
dc.subject.enRatio of two totals
dc.subject.enRandom sampling, simple
dc.subject.enEstimator, calibrated
dcterms.sourcetitleNonlinear analysis : modelling and control
dc.description.issueno. 4
dc.description.volumeVol. 10
dc.publisher.nameInstitute of Mathematics and Informatics
dc.publisher.cityVilnius
dc.identifier.doiLBT02-000017712
dc.identifier.doi10.15388/NA.2005.10.4.15113
dc.identifier.elaba3715422


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