NON-PARAMETRIC LEAST SQUARE ESTIMATION OF DISTRIBUTION FUNCTION

被引：0

作者：

Chai Genxiang 1 Hua Hong 1 Shang Hanji 21 Dept. of Appl. Math.

机构：

来源：

Applied Mathematics:A Journal of Chinese Universities | 2002年 / 04期

基金：

中国国家自然科学基金;

关键词：

logist transformation; least square method; strong consistence;

D O I：

暂无

中图分类号：

O212.1 [一般数理统计];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

By using the non parametric least square method, the strong consistent estimations of distribution function and failure function are established,where the distribution function F(x) after logist transformation is assumed to be approximated by a polynomial.The performance of simulation shows that the estimations are highly satisfactory.

引用

页码：442 / 450

页数：9

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