Statistical Approximation for Stochastic Processes

被引：1

作者：

Anastassiou, George A. ^{[1
]}

Duman, Oktay ^{[2
]}

Erkus-Duman, Esra ^{[3
]}

机构：

[1] Univ Memphis, Dept Math Sci, Memphis, TN 38152 USA

[2] TOBB Econ & Technol Univ, Fac Arts & Sci, Dept Math, Ankara, Turkey

[3] Gazi Univ, Dept Math, Fac Arts & Sci, Ankara, Turkey

来源：

STOCHASTIC ANALYSIS AND APPLICATIONS | 2009年 / 27卷 / 03期

关键词：

A-density; A-statistical convergence; Korovkin theorem; Positive linear operators; stochastic process; POSITIVE LINEAR-OPERATORS; KOROVKIN THEORY; CONVERGENCE;

D O I：

10.1080/07362990802679216

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this article, we obtain strong Korovkin-type approximation theorems for stochastic processes by using the concept of A-statistical convergence from the summability theory.

引用

页码：460 / 474

页数：15

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