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dc.contributor.authorYuzbasi, Bahadir
dc.contributor.authorAhmed, S. Ejaz
dc.contributor.authorAydın, Dursun
dc.date.accessioned2020-11-20T14:39:41Z
dc.date.available2020-11-20T14:39:41Z
dc.date.issued2020
dc.identifier.issn0932-5026
dc.identifier.issn1613-9798
dc.identifier.urihttps://doi.org/10.1007/s00362-017-0967-8
dc.identifier.urihttps://hdl.handle.net/20.500.12809/539
dc.descriptionYuzbasi, Bahadir/0000-0002-6196-3201en_US
dc.descriptionWOS: 000521172800016en_US
dc.description.abstractIn this paper, we suggest pretest and shrinkage ridge regression estimators for a partially linear regression model, and compare their performance with some penalty estimators. We investigate the asymptotic properties of proposed estimators. We also consider a Monte Carlo simulation comparison, and a real data example is presented to illustrate the usefulness of the suggested methods.en_US
dc.item-language.isoengen_US
dc.publisherSpringeren_US
dc.item-rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectPretest Estimationen_US
dc.subjectShrinkage Estimationen_US
dc.subjectRidge Regressionen_US
dc.subjectSmoothing Splineen_US
dc.subjectPartially Linear Modelen_US
dc.titleRidge-type pretest and shrinkage estimations in partially linear modelsen_US
dc.item-typearticleen_US
dc.contributor.departmentMÜ, Fen Fakültesi, İstatistik Bölümüen_US
dc.contributor.institutionauthorAydın, Dursun
dc.identifier.doi10.1007/s00362-017-0967-8
dc.identifier.volume61en_US
dc.identifier.issue2en_US
dc.identifier.startpage869en_US
dc.identifier.endpage898en_US
dc.relation.journalStatistical Papersen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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