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In this paper, we define
statistical hypo-convergence in metric spaces as an alternative to statistical pointwise and uniform
statistical convergence. We show that this type of convergence provides a
useful tool for solving stochastic optimization and variational problems. Also, its characterizations with level
sets are obtained.
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Statistical Hypo-Convergence in Sequences of Functions
How to cite this paper: Şükrü Tortop. (2018) Statistical Hypo-Convergence in Sequences of Functions. Journal of Applied Mathematics and Computation, 2(11), 504-512.
DOI: http://dx.doi.org/10.26855/jamc.2018.11.002