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Strong statistical convergence in probabilistic metric spaces

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dc.creator Sencimen, C.
dc.creator Pehlivan, S.
dc.date 2008-05-01T00:00:00Z
dc.date.accessioned 2021-12-03T11:21:09Z
dc.date.available 2021-12-03T11:21:09Z
dc.identifier 497bf021-15d1-42e4-a303-c9a7b5658582
dc.identifier 10.1080/07362990802007251
dc.identifier https://avesis.sdu.edu.tr/publication/details/497bf021-15d1-42e4-a303-c9a7b5658582/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/91293
dc.description In this article, we introduce the concepts of strongly statistically convergent sequence and strong statistically Cauchy sequence in a probabilistic metric (PM) space endowed with the strong topology, and establish some basic facts. Next, we define the strong statistical limit points and the strong statistical cluster points of a sequence in this space and investigate the relations between these concepts.
dc.language eng
dc.rights info:eu-repo/semantics/closedAccess
dc.title Strong statistical convergence in probabilistic metric spaces
dc.type info:eu-repo/semantics/article


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