Parameter Estimation for Semi-parametric Regression Model with Linear Constraints

被引：0

作者：

Xia, Yafeng ^{[1
]}

Wu, Yongdong ^{[1
]}

机构：

[1] Lanzhou Univ Technol, Coll Sci, Lanzhou 730050, Peoples R China

来源：

2012 THIRD INTERNATIONAL CONFERENCE ON THEORETICAL AND MATHEMATICAL FOUNDATIONS OF COMPUTER SCIENCE (ICTMF 2012) | 2013年 / 38卷

关键词：

Lagrange multiplier method; Two-step estimates; Linear constraints;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The current study, by developing the semiparametric regression model with linear constraints, aims to generate a two-step estimation of(beta) within the framework of lagrange multiplier method, which offers solid foundations to support the superiority of the estimation of (beta) under the paradigm of covariance matrix and the mean square error(MSE).

引用

页码：355 / 359

页数：5

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