In this article, we study Korovkin-type approximation theorems for multivariate stochastic processes via the concept of A-statistical convergence. A non-trivial example expressing the importance of our results is also presented. © Taylor & Francis Group, LLC
In this paper, we relax the positivity condition of linear operators in the Korovkin-type approximat...
The concept of statistical summability (C, 1) has recently been introduced by Moricz (2002). In this...
In this paper, using the concept of A-statistical convergence for double sequences, we provide a Ko...
In this article, we study Korovkin-type approximation theorems for multivariate stochastic processes...
In this article, we obtain strong Korovkin-type approximation theorems for stochastic processes by u...
In this paper, we prove a Korovkin type approximation theorem for a function of two variables by usi...
We generalize and develop the Korovkin-type approximation theory by using an appropriate abstract sp...
We introduce and study very general multivariate stochastic positive linear operators induced by gen...
AbstractThe concept of λ-statistical convergence was introduced in [M. Mursaleen, λ-statistical conv...
In this paper using the notion of A-statistical convergence, where A is a nonnegative regular summab...
AbstractIn this paper using the notion of A-statistical convergence, where A is a nonnegative regula...
In this paper, we define and study q-statistical limit point, q-statistical cluster point, q-statist...
The purpose of this paper is twofold. First, the definition of new statistical convergence with Fibo...
In this paper, we obtain a Korovkin type approximation theorem for double sequences of positive line...
In this paper using equi-statistical convergence, which is stronger than the usual uniform convergen...
In this paper, we relax the positivity condition of linear operators in the Korovkin-type approximat...
The concept of statistical summability (C, 1) has recently been introduced by Moricz (2002). In this...
In this paper, using the concept of A-statistical convergence for double sequences, we provide a Ko...
In this article, we study Korovkin-type approximation theorems for multivariate stochastic processes...
In this article, we obtain strong Korovkin-type approximation theorems for stochastic processes by u...
In this paper, we prove a Korovkin type approximation theorem for a function of two variables by usi...
We generalize and develop the Korovkin-type approximation theory by using an appropriate abstract sp...
We introduce and study very general multivariate stochastic positive linear operators induced by gen...
AbstractThe concept of λ-statistical convergence was introduced in [M. Mursaleen, λ-statistical conv...
In this paper using the notion of A-statistical convergence, where A is a nonnegative regular summab...
AbstractIn this paper using the notion of A-statistical convergence, where A is a nonnegative regula...
In this paper, we define and study q-statistical limit point, q-statistical cluster point, q-statist...
The purpose of this paper is twofold. First, the definition of new statistical convergence with Fibo...
In this paper, we obtain a Korovkin type approximation theorem for double sequences of positive line...
In this paper using equi-statistical convergence, which is stronger than the usual uniform convergen...
In this paper, we relax the positivity condition of linear operators in the Korovkin-type approximat...
The concept of statistical summability (C, 1) has recently been introduced by Moricz (2002). In this...
In this paper, using the concept of A-statistical convergence for double sequences, we provide a Ko...
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