In this paper we define concepts of statistical convergence and statistical Cauchy on probabilistic normed spaces. Then we give a useful characterization for statistically convergent sequences. Furthermore, we display an example such that our method of convergence is stronger than the usual convergence on probabilistic normed spaces. We also introduce statistical limit points, statistical cluster points on probabilistic normed spaces and then we give the relations between these and limit points of sequence on probabilistic normed spaces
In this paper, we study statistical convergence in n−normed spaces. We show that some properties of ...
A probabilistic convergence structure assigns a probability that a given filter converges to a given...
AbstractProbabilistic normed spaces have been redefined by Alsina, Schweizer, and Sklar. We give a d...
In this paper we define concepts of statistical convergence and statistical Cauchy on probabilistic ...
convergence on probalistic normed spaces SevdaKarakus∗ Abstract. In this paper we define concepts of...
The paper extends certain stochastic convergence of sequences of Rk -valued random variables (namely...
In this paper we purpose to define the notions of lacunary statistical convergence and lacunary stat...
The main objective of the study was to understand the notion of Λ-convergence and to study the notio...
Following the concept of statistical convergence, we define and study statistical analog concepts of...
This contribution aims at presenting a survey of a portion of the theory of Probabilistic Normed sp...
The concept of statistical convergence was presented by Steinhaus in 1951. This concept was extended...
The concept of statistical convergence was presented by Steinhaus in 1951. This concept was extended...
Statistical convergence and statistical Cauchy sequence in 2-normed space were studied by Gürdal an...
In this paper, we study the boundedness property in probabilistic normed spaces and also we consid...
In this paper, we study the concepts of lacunary statisti-cal convergent and lacunary statistical Ca...
In this paper, we study statistical convergence in n−normed spaces. We show that some properties of ...
A probabilistic convergence structure assigns a probability that a given filter converges to a given...
AbstractProbabilistic normed spaces have been redefined by Alsina, Schweizer, and Sklar. We give a d...
In this paper we define concepts of statistical convergence and statistical Cauchy on probabilistic ...
convergence on probalistic normed spaces SevdaKarakus∗ Abstract. In this paper we define concepts of...
The paper extends certain stochastic convergence of sequences of Rk -valued random variables (namely...
In this paper we purpose to define the notions of lacunary statistical convergence and lacunary stat...
The main objective of the study was to understand the notion of Λ-convergence and to study the notio...
Following the concept of statistical convergence, we define and study statistical analog concepts of...
This contribution aims at presenting a survey of a portion of the theory of Probabilistic Normed sp...
The concept of statistical convergence was presented by Steinhaus in 1951. This concept was extended...
The concept of statistical convergence was presented by Steinhaus in 1951. This concept was extended...
Statistical convergence and statistical Cauchy sequence in 2-normed space were studied by Gürdal an...
In this paper, we study the boundedness property in probabilistic normed spaces and also we consid...
In this paper, we study the concepts of lacunary statisti-cal convergent and lacunary statistical Ca...
In this paper, we study statistical convergence in n−normed spaces. We show that some properties of ...
A probabilistic convergence structure assigns a probability that a given filter converges to a given...
AbstractProbabilistic normed spaces have been redefined by Alsina, Schweizer, and Sklar. We give a d...