A Sequence Space and Uniform (A, phi)-Statistical Convergence

dc.contributor.authorSavaş, Ekrem
dc.contributor.editorMohapatra, RN
dc.contributor.editorChowdhury, DR
dc.contributor.editorGiri, D
dc.date.accessioned2020-11-21T15:56:00Z
dc.date.available2020-11-21T15:56:00Z
dc.date.issued2015en_US
dc.departmentİstanbul Ticaret Üniversitesien_US
dc.description2nd International Conference on Mathematics and Computing (ICMC) -- JAN 05-10, 2015 -- Haldia Inst Technol, Haldia, INDIAen_US
dc.descriptionWOS:000380494800034en_US
dc.description.abstractIn this, we introduce and study some properties of the new sequence space that is defined using the phi-function and de la Valee-Poussin mean. We also study some connections between V-lambda((A, phi))-strong summability of sequences and lambda-strong convergence with respect to a modulus.en_US
dc.identifier.doi10.1007/978-81-322-2452-5_34en_US
dc.identifier.endpage493en_US
dc.identifier.isbn978-81-322-2452-5
dc.identifier.isbn978-81-322-2451-8
dc.identifier.issn2194-1009
dc.identifier.scopus2-s2.0-84947079184en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage481en_US
dc.identifier.urihttps://doi.org/10.1007/978-81-322-2452-5_34
dc.identifier.urihttps://hdl.handle.net/11467/4079
dc.identifier.volume139en_US
dc.identifier.wosWOS:000380494800034en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofMathematics and Computingen_US
dc.relation.ispartofseriesSpringer Proceedings in Mathematics & Statistics
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectModulus functionen_US
dc.subjectphi-functionen_US
dc.subjectlambda-strong convergenceen_US
dc.subjectMatrix transformationsen_US
dc.subjectSequence spacesen_US
dc.subjectStatistical convergenceen_US
dc.titleA Sequence Space and Uniform (A, phi)-Statistical Convergenceen_US
dc.typeConference Objecten_US

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