z-logo
open-access-imgOpen Access
Weighted statistical approximation properties of univariate and bivariate λ-Kantorovich operators
Author(s) -
Faruk Özger
Publication year - 2019
Publication title -
filomat
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.449
H-Index - 34
eISSN - 2406-0933
pISSN - 0354-5180
DOI - 10.2298/fil1911473o
Subject(s) - mathematics , univariate , bivariate analysis , rate of convergence , convergence (economics) , type (biology) , statistics , multivariate statistics , channel (broadcasting) , economic growth , electrical engineering , economics , engineering , ecology , biology
In this study, we consider statistical approximation properties of univariate and bivariate ?-Kantorovich operators. We estimate rate of weighted A-statistical convergence and prove a Voronovskajatype approximation theorem by a family of linear operators using the notion of weighted A-statistical convergence. We give some estimates for differences of ?-Bernstein and ?-Durrmeyer, and ?-Bernstein and ?-Kantorovich operators. We establish a Voronovskaja-type approximation theorem by weighted A-statistical convergence for the bivariate case.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here