We will examine double sequence to double sequence transformation of independent identically distribution random variables with respect to four-dimensional summability matrix methods. The main goal of this paper is the presentation of the following theorem. If maxk,l|am,n,k,l | maxk,l|am,kan,l | Om−γ1On−γ2, γ1, γ2> 0, then E|X̆|11/γ1 < ∞ and E | ˘̆X|11/γ2 < ∞ imply that Ym,n → μ almost sure P-convergence. Copyright q 2008 R. F. Patterson and E. Savaş. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 1
In this study, we have introduced the concepts of Wijsman statistical convergence of order $\alpha$,...
After a brief summary of Tauberian conditions for ordinary sequences of numbers, we con-sider summab...
3rd International Conference of Mathematical Sciences (ICMS) -- SEP 04-08, 2019 -- Maltepe Univ, Ist...
We will examine double sequence to double sequence transformation of independent identically distrib...
The goal of this paper was to present a series of limit theorems that characterizes independent doub...
The goal of this paper was to present a series of limit theorems that characterizes independent doub...
Matrix summability is arguable the most important tool used to char-acterize sequence spaces. In 199...
In this paper, we introduce a new type of statistical convergence method for double sequences by usi...
In 1971, Chow and Teicher presented a probability approximation Theorem via summability methods. The...
The main result of this note is that if I is an ideal generated by a regular double summability matr...
AbstractThe idea of statistical convergence was first introduced by Fast (1951) but the rapid develo...
The paper deals with sums of independent and identically distributed random variables defined on som...
We intend to make a new approach and introduce the concepts of statistical convergence of order and...
In this paper we introduce the concept generalized weighted statistical convergence of double sequen...
In this paper, we de ned concept of Wijsman I2-Cesàro summability and investigate the relationship ...
In this study, we have introduced the concepts of Wijsman statistical convergence of order $\alpha$,...
After a brief summary of Tauberian conditions for ordinary sequences of numbers, we con-sider summab...
3rd International Conference of Mathematical Sciences (ICMS) -- SEP 04-08, 2019 -- Maltepe Univ, Ist...
We will examine double sequence to double sequence transformation of independent identically distrib...
The goal of this paper was to present a series of limit theorems that characterizes independent doub...
The goal of this paper was to present a series of limit theorems that characterizes independent doub...
Matrix summability is arguable the most important tool used to char-acterize sequence spaces. In 199...
In this paper, we introduce a new type of statistical convergence method for double sequences by usi...
In 1971, Chow and Teicher presented a probability approximation Theorem via summability methods. The...
The main result of this note is that if I is an ideal generated by a regular double summability matr...
AbstractThe idea of statistical convergence was first introduced by Fast (1951) but the rapid develo...
The paper deals with sums of independent and identically distributed random variables defined on som...
We intend to make a new approach and introduce the concepts of statistical convergence of order and...
In this paper we introduce the concept generalized weighted statistical convergence of double sequen...
In this paper, we de ned concept of Wijsman I2-Cesàro summability and investigate the relationship ...
In this study, we have introduced the concepts of Wijsman statistical convergence of order $\alpha$,...
After a brief summary of Tauberian conditions for ordinary sequences of numbers, we con-sider summab...
3rd International Conference of Mathematical Sciences (ICMS) -- SEP 04-08, 2019 -- Maltepe Univ, Ist...
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