The full least-squares method

被引：10

作者：

D'Antona, G ^{[1
]}

机构：

[1] Politecn Milan, Dipartimento Elettrotecn, I-20133 Milan, Italy

来源：

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2003年 / 52卷 / 01期

关键词：

calibration; curve fitting; data models; least-squares; parameter estimation; parameter uncertainty; surface fitting;

D O I：

10.1109/TIM.2003.809489

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：

This paper deals with the problem of the regression of measured quantities when measurement uncertainty affects both the regressed quantity Find the independent variables. A new criterion is given, named the full least-squares method. A compact matrix notation is used for deriving the parameter vector of the regression model and its uncertainty variance-covariance matrix. Some examples of application of the novel method are given together with a comparison with the regression obtained by the generalized least-squares and the total least-squares methods.

引用

页码：189 / 196

页数：8

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