On consistent estimators in nonlinear functional errors-in-variables models

被引：0

作者：

Kukush, A ^{[1
]}

Zwanzig, S ^{[1
]}

机构：

[1] Katholieke Univ Leuven, SISTA, ESAT, B-3001 Louvain, Belgium

来源：

TOTAL LEAST SQUARES AND ERRORS-IN-VARIABLES MODELING: ANALYSIS, ALGORITHMS AND APPLICATIONS | 2002年

关键词：

nonlinear errors-in-variables models; functional relationship; minimum contrast estimation; estimation function; total Lp norm approximation;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

For the implicit nonlinear functional relation model a new contrast estimation procedure is proposed, where the deconvolution idea is used for eliminating the nuisance parameters in the usual minimum contrast function. Several examples axe considered including L-1- and L-2-methods. Sufficient conditions for consistency axe given.

引用

页码：145 / 154

页数：10

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