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Comparison of the least square estimators with their robust versions in linear calibration problems
| dc.contributor.author | Çetin, Meral | |
| dc.contributor.author | Erar, Aydın | |
| dc.date.accessioned | 2022-06-08T18:38:14Z | |
| dc.date.available | 2022-06-08T18:38:14Z | |
| dc.date.issued | 2006 | |
| dc.identifier.issn | 1303-5010 | |
| dc.identifier.issn | 2651-477X | |
| dc.identifier.uri | https://app.trdizin.gov.tr/makale/TlRrNU5EQXc/comp | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14124/725 | |
| dc.description.abstract | The calibration problem is concerned with the prediction of Xo, the true but unknown value, by using yo given by a quick method. There are some approaches to solve this problem. In this study, these approaches are compared by using a simulation method with and without an outlier. It is observed that the Inverse estimator, generally yielded better results for interpolation, but that the Nazsodi estimators were good for extrapolation and the preference of small bias. | en_US |
| dc.language.iso | eng | en_US |
| dc.relation.ispartof | Hacettepe Journal of Mathematics and Statistics | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | Matematik | en_US |
| dc.subject | İstatistik ve Olasılık | en_US |
| dc.title | Comparison of the least square estimators with their robust versions in linear calibration problems | en_US |
| dc.type | article | en_US |
| dc.department | . . . | en_US |
| dc.institutionauthor | . . . | |
| dc.identifier.volume | 35 | en_US |
| dc.identifier.issue | 1 | en_US |
| dc.identifier.startpage | 71 | en_US |
| dc.identifier.endpage | 90 | en_US |
| dc.relation.publicationcategory | Makale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| dc.identifier.trdizinid | TlRrNU5EQXc/comp | en_US |
| dc.identifier.trdizinid | 59940 | |
| dc.indekslendigikaynak | TR-Dizin |
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