Revised Passing-Bablok Regression Method for Model Comparison

Basit Öğe Kaydı
dc.contributor.authorErilli, Necati Alp
dc.date.accessioned2025-05-04T16:22:41Z
dc.date.available2025-05-04T16:22:41Z
dc.date.issued2023
dc.departmentSivas Cumhuriyet Üniversitesi
dc.description.abstractType-II regression models are used to compare more than one method that makes the same measurement. The Passing-Bablok regression method, which is one of them, is non-parametric and can yield more successful results than other comparison methods, particularly when there are outliers. In this study, innovations in the calculation of the slope and intercept parameters used in the traditional Passing-Bablok method are proposed. Instead of the median parameter used in the classical model, the use of the trimean parameter is suggested, and the model parameter estimates are adjusted accordingly. The proposed model and classical model predictions were compared on 15 different datasets, eight of which were simulations. It was determined that the proposed model calculations contained fewer errors than the results of the classical method.
dc.description.abstract[No abstract available]
dc.identifier.doi10.34110/forecasting.1367369
dc.identifier.doihttps://doi.org/10.34110/forecasting.1367369
dc.identifier.issn2618-6594
dc.identifier.issue2
dc.identifier.startpage16-Oct
dc.identifier.urihttps://hdl.handle.net/20.500.12418/31903
dc.identifier.volume7
dc.institutionauthorErilli, Necati Alp
dc.language.isoen
dc.publisherGiresun University
dc.relation.ispartofTurkish Journal of Forecasting
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_DergiPark_20250504
dc.subjectPassing-Bablok Regression
dc.subjectType-II Regression
dc.subjectModel Comparison
dc.subjectTrimean
dc.titleRevised Passing-Bablok Regression Method for Model Comparison
dc.typeResearch Article

Dosyalar

Koleksiyon

DergiPark