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Estimating the location and scale parameters of the Weibull distribution: An application from engineering

dc.contributor.authorMert Kantar, Yeliz
dc.contributor.authorŞenoğlu, Birdal
dc.contributor.editorDeFelice, F
dc.date.accessioned2019-10-20T09:31:20Z
dc.date.available2019-10-20T09:31:20Z
dc.date.issued2007
dc.identifier.isbn978-0-88986-687-4
dc.identifier.issn1021-8181
dc.identifier.urihttps://hdl.handle.net/11421/17667
dc.description16th IASTED International Conference on Applied Simulation and Modelling -- AUG 29-31, 2007 -- Palma de Mallorca, SPAINen_US
dc.descriptionWOS: 000251419200016en_US
dc.description.abstractThere exist various methods for estimating the location and scale parameters of the Weibull distribution. The maximum likelihood estimators (MLE), moment estimators (ME), generalized spacing estimators (GSE), modified maximum likelihood estimators (MMLE-I and MMLE-II), Tiku's Modified Maximum Likelihood Estimators (TMMLE), least squares estimators (LSE), weighted least squares estimators (WLSE) and percentile estimators (PCE) are the most popular among the other estimation methods used in the literature. In this study, we estimate the location and scale parameters of the two-parameter Weibull distribution by using a real data set. We also compare these estimators in terms of defficiency via Monte Carlo simulation.en_US
dc.description.sponsorshipInt Assoc Sci & Technol Dev, IASTED TCMSen_US
dc.language.isoengen_US
dc.publisherActa Press Anaheimen_US
dc.relation.ispartofseriesIASTED International Conference on Modelling and Simulation
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMaximum Likelihood Estimatorsen_US
dc.subjectMoment Estimatorsen_US
dc.subjectGeneralized Spacing Estimatorsen_US
dc.subjectModified Maximum Likelihood Estimatorsen_US
dc.subjectTiku'S Modified Maximum Likelihood Estimatorsen_US
dc.subjectLeast Squares Estimatorsen_US
dc.subjectWeighted Least Squares Estimators And Percentile Estimatorsen_US
dc.titleEstimating the location and scale parameters of the Weibull distribution: An application from engineeringen_US
dc.typeconferenceObjecten_US
dc.relation.journalProceedings of the 16th Iasted International Conference On Applied Simulation and Modellingen_US
dc.contributor.departmentAnadolu Üniversitesi, Fen Fakültesi, İstatistik Bölümüen_US
dc.identifier.startpage90en_US
dc.identifier.endpage+en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorMert Kantar, Yeliz


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