Strong Statistical Convergence in Probabilistic Metric Spaces
| dc.contributor.author | Şençimen, Celaleddin | |
| dc.contributor.author | Pehlivan, Serpil | |
| dc.date.accessioned | 2014-08-05T08:46:05Z | |
| dc.date.available | 2014-08-05T08:46:05Z | |
| dc.date.issued | 2008 | |
| dc.description.abstract | 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. | tr_TR, en_US |
| dc.identifier.issn | 0736-2994 | |
| dc.identifier.uri | http://hdl.handle.net/11672/127 | |
| dc.language.iso | en | tr_TR, en_US |
| dc.publisher | Stochastic Analysis and Applications | tr_TR, en_US |
| dc.subject | Probabilistic metric space; Strong statistical cluster point; Strong statistical convergence; Strong statistical limit point; Strong statistically Cauchy sequence; Strong topology. | tr_TR, en_US |
| dc.title | Strong Statistical Convergence in Probabilistic Metric Spaces | tr_TR, en_US |
| dc.type | Article | tr_TR, en_US |