The rate of convergence for the least squares estimator in nonlinear regression model with dependent errors

被引：0

作者：

Hu, SH ^{[1
]}

机构：

[1] Anhui Univ, Dept Math, Hefei 230039, Peoples R China

来源：

SCIENCE IN CHINA SERIES A-MATHEMATICS PHYSICS ASTRONOMY | 2002年 / 45卷 / 02期

关键词：

nonlinear regression model; dependent error; least squares estimator; strong consistency rate;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

We study the parameter estimation in a nonlinear regression model with a general error's structure, strong consistency and strong consistency rate of the least squares estimator are obtained.

引用

页码：137 / 146

页数：10

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