$\pmb{A}$ -Korovkin型逼近定理的统计扩展
$\pmb{A}$-Statistical extension of the Korovkin type approximation theorem
摘要：
本文利用$A$ -统计收敛的概念，即一种正则（非矩阵）可和性方法，得到了一个关于函数$A$用正线性算子序列$\{L_{n}f\}$逼近问题的一般Korovkin型逼近定理.
英文摘要：
In this paper, using the concept of $A$-statistical convergence which is a regular (non-matrix) summability method, we obtain a general Korovkin type approximation theorem which concerns the problem of approximating a function $f$ by means of a sequence $\{L_{n}f\}$ of positive linear operators.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
