Publication: An Improved Class of Robust Ratio Estimators by Using the Minimum Covariance Determinant Estimation
| dc.authorscopusid | 58075450500 | |
| dc.authorscopusid | 55961568600 | |
| dc.contributor.author | Bulut, H. | |
| dc.contributor.author | Zaman, T. | |
| dc.date.accessioned | 2020-06-21T12:19:19Z | |
| dc.date.available | 2020-06-21T12:19:19Z | |
| dc.date.issued | 2022 | |
| dc.department | Ondokuz Mayıs Üniversitesi | en_US |
| dc.department-temp | [Bulut] Hasan, Department of Statistics, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Zaman] Tolga, Department of Statistics, Çankiri Karatekin Üniversitesi, Cankiri, Turkey | en_US |
| dc.description.abstract | In this article, ratio estimators for the population mean have suggested using the robust covariance estimation under the simple random scheme. Zaman and Bulut have developed a class of ratio-type estimators for the mean estimation by utilizing robust regression coefficients. In this paper, we extend the estimators presented in Zaman and Bulut by using minimum covariance determinant (MCD) robust covariance estimation. The mean square error (MSE) equation for the new estimators is obtained. These theoretical results are supported with the aid of numerical example and simulation based on dataset that include outliers. © 2019 Taylor & Francis Group, LLC. | en_US |
| dc.identifier.doi | 10.1080/03610918.2019.1697818 | |
| dc.identifier.endpage | 2463 | en_US |
| dc.identifier.issn | 0361-0918 | |
| dc.identifier.issn | 1532-4141 | |
| dc.identifier.issue | 5 | en_US |
| dc.identifier.scopus | 2-s2.0-85076435690 | |
| dc.identifier.scopusquality | Q3 | |
| dc.identifier.startpage | 2457 | en_US |
| dc.identifier.uri | https://doi.org/10.1080/03610918.2019.1697818 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12712/10385 | |
| dc.identifier.volume | 51 | en_US |
| dc.identifier.wos | WOS:000501104500001 | |
| dc.identifier.wosquality | Q3 | |
| dc.language.iso | en | en_US |
| dc.publisher | Taylor and Francis Ltd. | en_US |
| dc.relation.ispartof | Communications in Statistics-Simulation and Computation | en_US |
| dc.relation.journal | Communications in Statistics-Simulation and Computation | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Efficiency | en_US |
| dc.subject | MCD Estimation | en_US |
| dc.subject | MSE | en_US |
| dc.subject | Ratio-Type Estimators | en_US |
| dc.subject | Robust Regression Coefficients | en_US |
| dc.title | An Improved Class of Robust Ratio Estimators by Using the Minimum Covariance Determinant Estimation | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication |
