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Generalized weighted statistical convergence and application

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dc.contributor.author Belen, C.
dc.contributor.author Mohiuddine, S. A.
dc.date.accessioned 2022-09-06T06:01:21Z
dc.date.available 2022-09-06T06:01:21Z
dc.date.issued 2013
dc.identifier.uri http://doi.org/10.1016/j.amc.2013.03.115
dc.identifier.uri http://earsiv.odu.edu.tr:8080/xmlui/handle/11489/3162
dc.description.abstract The object of this paper is to introduce the concepts of weighted lambda-statistical convergence and statistical summability ((N) over bar (lambda), p). We also establish some inclusion relations and some related results for these new summability methods. Further, we determine a Korovkin type approximation theorem through statistical summability ((N) over bar (lambda), p) and we show that our approximation theorem is stronger than classical Korovkin theorem by using classical Bernstein polynomials. (C) 2013 Elsevier Inc. All rights reserved. en_US
dc.language.iso eng en_US
dc.publisher ELSEVIER SCIENCE INCSTE 800, 230 PARK AVE, NEW YORK, NY 10169 en_US
dc.relation.isversionof 10.1016/j.amc.2013.03.115 en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Density Weighted mean Statistical convergence Korovkin theorem Positive linear operator en_US
dc.title Generalized weighted statistical convergence and application en_US
dc.type article en_US
dc.relation.journal APPLIED MATHEMATICS AND COMPUTATION en_US
dc.contributor.department Ordu Üniversitesi en_US
dc.contributor.authorID 0000-0002-9050-9104 en_US
dc.contributor.authorID 0000-0002-8832-1524 en_US
dc.identifier.volume 219 en_US
dc.identifier.issue 18 en_US
dc.identifier.startpage 9821 en_US
dc.identifier.endpage 9826 en_US


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