Non-parametric least square estimation of distribution function

被引：0

作者：

Chai G. ^{[1
]}

Hua H. ^{[1
]}

Shang H. ^{[1
]}

机构：

[1] Dept. of Appl. Math, Tongji Univ, Shanghai

[2] Dept. of Math, Fudan Univ, Shanghai

来源：

Applied Mathematics-A Journal of Chinese Universities | 2002年 / 17卷 / 4期

关键词：

Least square method; Logist transformation; Strong consistence;

D O I：

10.1007/s11766-996-0009-0

中图分类号：

学科分类号：

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. © 2002, Springer Verlag. All rights reserved.

引用

页码：442 / 450

页数：8

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