Modified ridge type estimator in partially linear regression models and numerical comparisons

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dc.authorscopusid16027626200
dc.authorscopusid55581057800
dc.authorscopusid57216190371
dc.contributor.authorAydin D.
dc.contributor.authorYüzbaşi B.
dc.contributor.authorAhmed S.E.
dc.date.accessioned2024-08-04T20:02:28Z
dc.date.available2024-08-04T20:02:28Z
dc.date.issued2016
dc.departmentİnönü Üniversitesien_US
dc.description.abstractIn this article, we introduce a modified ridge type estimator for the vector of parameters in a partially linear model. This estimator is a generalization of the well-known Speckman's approach and is based on smoothing splines method. Most important in the implementation of this method is the choice of the smoothing parameter. Many Criteria of selecting smoothing parameters such as improved version of Akaike information criterion (AICc), generalized cross-validation (GCV), crossvalidation (CV), Mallows' Cp criterion, risk estimation using classical pilots (REC) and Bayes information criterion (BIC) are developed in literature. In order to illustrate the ideas in the paper, a real data example and a Monte Carlo simulation study are carried out. Thus, the appropriate selection criteria are provided for a suitable smoothing parameter selection. © Copyright 2016 American Scientific Publishers All rights reserved.en_US
dc.identifier.doi10.1166/jctn.2016.5669
dc.identifier.endpage7053en_US
dc.identifier.issn1546-1955
dc.identifier.issue10en_US
dc.identifier.scopus2-s2.0-85013679486en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage7040en_US
dc.identifier.urihttps://doi.org/10.1166/jctn.2016.5669
dc.identifier.urihttps://hdl.handle.net/11616/91716
dc.identifier.volume13en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherAmerican Scientific Publishersen_US
dc.relation.ispartofJournal of Computational and Theoretical Nanoscienceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCross-validationen_US
dc.subjectGeneralized cross-validationen_US
dc.subjectPartially linear modelen_US
dc.subjectRidge type estimatoren_US
dc.subjectSmoothing parameteren_US
dc.subjectSmoothing splinesen_US
dc.titleModified ridge type estimator in partially linear regression models and numerical comparisonsen_US
dc.typeArticleen_US

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