MONOTONE AND PROBABILISTIC WAVELET APPROXIMATION

被引：10

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 / 03期

关键词：

D O I：

10.1080/07362999208809268

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 monotonicity and transform continuous probability distribution functions into probability distribution functions. The degree of this approximation is estimated by establishing some Jackson type inequalities.

引用

页码：251 / 264

页数：14