Weighted Statistical Relative Approximation by Positive Linear Operators

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dc.contributor.authorDemirci, Kamil
dc.contributor.authorOrhan, Sevda
dc.contributor.authorKolay, Burçak
dc.date.accessioned2025-03-23T19:16:32Z
dc.date.available2025-03-23T19:16:32Z
dc.date.issued2018
dc.departmentSinop Üniversitesi
dc.description.abstractIn this paper we define weighted statistical relative uniform convergence by using weighted density and give a Korovkin-type approximation theorem. Then, we construct an example such that our new approximation result works but its weighted statistical and statistical (and classical) cases do not work. We also compute the rates of weighted statistical relative uniform convergence of sequences of positive linear operators. © 2018, Springer International Publishing AG, part of Springer Nature.
dc.identifier.doi10.1007/978-3-319-72449-2_6
dc.identifier.endpage139
dc.identifier.issn0255-0156
dc.identifier.scopus2-s2.0-85052365145
dc.identifier.scopusqualityQ4
dc.identifier.startpage131
dc.identifier.urihttps://doi.org/10.1007/978-3-319-72449-2_6
dc.identifier.urihttps://hdl.handle.net/11486/4105
dc.identifier.volume267
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer International Publishing
dc.relation.ispartofOperator Theory: Advances and Applications
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250323
dc.subjectKorovkin
dc.subjectStatistical convergence
dc.subjectTheorem
dc.subjectWeighted statistical convergence
dc.subjectWeighted statistical relative uniform convergence
dc.titleWeighted Statistical Relative Approximation by Positive Linear Operators
dc.typeBook Part

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