CONVEX AND COCONVEX-PROBABILISTIC WAVELET APPROXIMATION

被引：4

作者：

ANASTASSIOU, GA ^{[1
]}

YU, XM ^{[1
]}

机构：

[1] MEMPHIS STATE UNIV,DEPT MATH SCI,MEMPHIS,TN 38152

来源：

STOCHASTIC ANALYSIS AND APPLICATIONS | 1992年 / 10卷 / 05期

关键词：

D O I：

10.1080/07362999208809287

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

Continuous functions are approximated by wavelet operators. These preserve convexity and r-convexity and transform continuous probability distribution functions into probability distribution functions at the same time preserving certain convexity conditions. The degree of this approximation is estimated by establishing some Jackson type inequalities.

引用

页码：507 / 521

页数：15