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dc.contributor.authorÖzgül, Nilgün
dc.contributor.authorCingi, Hulya
dc.date.accessioned2019-12-16T08:35:29Z
dc.date.available2019-12-16T08:35:29Z
dc.date.issued2017
dc.identifier.issn1303-5010
dc.identifier.urihttps://doi.org/10.15672/HJMS.2017.414
dc.identifier.urihttp://hdl.handle.net/11655/19588
dc.description.abstractIn this study, we have developed a new improved estimator for the population mean estimation of the sensitive study variable in Partial Additive Randomized Response Models (RRMs) using two non-sensitive auxiliary variables. The mean squared error of the proposed estimator is derived and compared with other existing estimators based on the auxiliary variable. The proposed estimator is compared with [19],[5] and [13] estimators in performing a simulation study and is found to be more efficient than other existing estimators using non-sensitive auxiliary variable. The results of the simulation study are discussed in the final section.
dc.language.isoen
dc.publisherHacettepe Univ, Fac Sci
dc.relation.isversionof10.15672/HJMS.2017.414
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectMathematics
dc.titleA New Improved Estimator of Population Mean in Partial Additive Randomized Response Models
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.relation.journalHacettepe Journal Of Mathematics And Statistics
dc.contributor.departmentİstatistik
dc.identifier.volume46
dc.identifier.issue2
dc.identifier.startpage325
dc.identifier.endpage338
dc.description.indexWoS
dc.description.indexScopus


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