Beschreibung
InhaltsangabeIntroduction.- Statistical Approximation by Bivariate Picard Singular Integral Operators.- Uniform Approximation in Statistical Sense by Bivariate Gauss-Weierstrass Singular Integral Operators.- Statistical Lp-Convergence of Bivariate Smooth Picard Singular Integral Operators.- Statistical Lp-Approximation by Bivariate Gauss-Weierstrass Singular Integral Operators.- A Baskakov-Type Generalization of Statistical Approximation Theory.- Weighted Approximation in Statistical Sense to Derivatives of Functions.- Statistical Approximation to Periodic Functions by a General Family of Linear Operators.- Relaxing the Positivity Condition of Linear Operators in Statistical Korovkin Theory.- Statistical Approximation Theory for Stochastic Processes.- Statistical Approximation Theory for Multivariate Stochas tic Processes.
Inhaltsverzeichnis
Introduction.- Statistical Approximation by Bivariate Picard Singular Integral Operators.- Uniform Approximation in Statistical Sense by Bivariate Gauss-Weierstrass Singular Integral Operators.- Statistical Lp-Convergence of Bivariate Smooth Picard Singular Integral Operators.- Statistical Lp-Approximation by Bivariate Gauss-Weierstrass Singular Integral Operators.- A Baskakov-Type Generalization of Statistical Approximation Theory.- Weighted Approximation in Statistical Sense to Derivatives of Functions.- Statistical Approximation to Periodic Functions by a General Family of Linear Operators.- Relaxing the Positivity Condition of Linear Operators in Statistical Korovkin Theory.- Statistical Approximation Theory for Stochastic Processes.- Statistical Approximation Theory for Multivariate Stochas tic Processes.
