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ROUGH STATISTICAL CONVERGENCE IN 2-NORMED SPACES

, 2021
In this study, we introduced the notions of rough statistical convergence and defined the set of rough statistical limit points of a sequence and obtained statistical convergence criteria associated with this set in 2-normed space.
Dundar, Erdinc Comma, Arslan, Mukaddes
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ROUGH STATISTICAL CONVERGENCE OF SEQUENCES IN A PARTIAL METRIC SPACE [PDF]

Facta Universitatis, Series: Mathematics and Informatics
In this paper, using the concept of natural density, we have introduced the notion of rough statistical convergence which is an extension of the notion of rough convergence in a partial metric space.
Khatun, Sukila, Banerjee, Amar Kumar
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On I-statistically rough convergence

Publications de l'Institut Mathematique, 2019
We introduce rough I-statistical convergence as an extension of rough convergence. We define the set of rough I-statistical limit points of a sequence and analyze the results with proofs.
Rakshit, Debjani, Savaş, Ekrem, Debnath, Shyama   +2 more
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Statistical and rough statistical convergence in an S-metric space

Journal of Classical Analysis
In this paper, using the concept of natural density, we have introduced the ideas of statistical and rough statistical convergence in an $S$-metric space. We have investigated some of their basic properties.
Khatun, Sukila, Banerjee, Amar Kumar
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On Generalized Difference Rough Ideal Statistical Convergence in Neutrosophic Normed Spaces [PDF]

Neutrosophic Sets and Systems
This article’s main goal is to provide and investigate a novel statistical convergence generalisation for generalized difference sequences in Neutrosophic Normed Spaces (NNS) called rough ideal statistical convergence.
Manpreet Kaur, Meenakshi Chawla
doaj   +2 more sources

ROUGH STATISTICAL CONVERGENCE IN NEUTROSOPHIC NORMED SPACES

Euroasia Journal of Mathematics, Engineering, Natural & Medical Sciences, 2022
In this study, Neutrophic normed spaces, which is one of the popular mathematics topics of recent times, is discussed. The Neutrosophic approach, which argues that it is insufficient to evaluate the problems in daily life as just right and wrong, is ...
Nazmiye Gönul Bilgin
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ROUGH STATISTICAL CONVERGENCE OF COMPLEX UNCERTAIN TRIPLE SEQUENCE

, 2022
We investigate the rough statistical convergence of complex uncertain triple sequences in this research. We show three forms of rough statistically convergent complex uncertain triple sequences and rough lambda(3)-statistical convergence in measure, as ...
Gurdal, M., Kisi, O.
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Weighted statistical rough convergence in normed spaces

Statistical convergence is a significant generalisation of the traditional convergence of real or complex valued sequences. Over the years, it has been studied by many authors and found many applications in various problems.
Aydin, Abdullah, Kucukaslan, Mehmet, Bayram, Erdal   +2 more
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Chlodowsky type $\left( \lambda,q\right)$-Bernstein Stancu operators of Pascal rough triple sequences [PDF]

Journal of Mahani Mathematical Research, 2023
The fundamental concept of statistical convergence first was put forward by Steinhaus and at the same time but also  by Fast \cite{Fast} independently both for complex and real sequences. In fact, the convergence in terms of statistical     manner can be
Ayhan Esi, Subramanian Nagarajan, Kemal Ozdemir   +2 more
doaj   +1 more source

Rough statistical convergence on triple sequence of the Bernstein operator of random variables in probability [PDF]

Songklanakarin Journal of Science and Technology (SJST), 2019
This paper aims to improve further on the work of Phu (2001), Aytar (2008), and Ghosal (2013). We propose a new apporach to extend the application area of rough statistical convergence usually used in triple sequence of the Bernstein operator of real ...
Nagarajan Subramanian, Ayhan Esi, Mustafa Kemal Ozdemir   +2 more
doaj   +1 more source