dc.contributor.author | Özgül, Nilgün | |
dc.contributor.author | Cingi, Hulya | |
dc.date.accessioned | 2019-12-16T08:35:29Z | |
dc.date.available | 2019-12-16T08:35:29Z | |
dc.date.issued | 2017 | |
dc.identifier.issn | 1303-5010 | |
dc.identifier.uri | https://doi.org/10.15672/HJMS.2017.414 | |
dc.identifier.uri | http://hdl.handle.net/11655/19588 | |
dc.description.abstract | In 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.iso | en | |
dc.publisher | Hacettepe Univ, Fac Sci | |
dc.relation.isversionof | 10.15672/HJMS.2017.414 | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.subject | Mathematics | |
dc.title | A New Improved Estimator of Population Mean in Partial Additive Randomized Response Models | |
dc.type | info:eu-repo/semantics/article | |
dc.type | info:eu-repo/semantics/publishedVersion | |
dc.relation.journal | Hacettepe Journal Of Mathematics And Statistics | |
dc.contributor.department | İstatistik | |
dc.identifier.volume | 46 | |
dc.identifier.issue | 2 | |
dc.identifier.startpage | 325 | |
dc.identifier.endpage | 338 | |
dc.description.index | WoS | |
dc.description.index | Scopus | |