Product of deferred Cesaro and deferred weighted statistical probability convergence and its applications to Korovkin-type theorems

In the present work, we introduce and study the notion of sta-tistical probability convergence for sequences of random variables as well as the idea of statistical convergence for sequences of real numbers, which are defined over a Banach space via the product of deferred Cesaro and deferred weighted summability means. We first establish a theorem presenting acon-nection between them. Based upon our proposed methods, we then prove a Korovkin-type approximation theorem with algebraic test functions for a sequence of random variables on a Banach space, and demonstrate that our theorem effectively extends and improves most (if not all) of the previously existing results (in classical as well as in statistical versions). Furthermore, an illustrative example is presented here by means of the generalized Meyer-Konig and Zeller operators of a sequence of random variables in order to demonstrate that our established theorem is stronger than its traditional and statistical versions. Finally, we estimate the rate of the product of deferred Cesaro and deferred weighted statistical probability convergence, and accordingly establish a new result.