Demirci, KamilOrhan, SevdaKolay, Burçak2025-03-232025-03-2320180255-0156https://doi.org/10.1007/978-3-319-72449-2_6https://hdl.handle.net/11486/4105In this paper we define weighted statistical relative uniform convergence by using weighted density and give a Korovkin-type approximation theorem. Then, we construct an example such that our new approximation result works but its weighted statistical and statistical (and classical) cases do not work. We also compute the rates of weighted statistical relative uniform convergence of sequences of positive linear operators. © 2018, Springer International Publishing AG, part of Springer Nature.eninfo:eu-repo/semantics/closedAccessKorovkinStatistical convergenceTheoremWeighted statistical convergenceWeighted statistical relative uniform convergenceWeighted Statistical Relative Approximation by Positive Linear OperatorsBook Part26713113910.1007/978-3-319-72449-2_62-s2.0-85052365145Q4