Curve fitting with least squares

被引：22

作者：

de Levie, R ^{[1
]}

机构：

[1] Bowdoin Coll, Dept Chem, Brunswick, ME 04011 USA

来源：

CRITICAL REVIEWS IN ANALYTICAL CHEMISTRY | 2000年 / 30卷 / 01期

关键词：

D O I：

10.1080/10408340091164180

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

The least-squares method provides a set of flexible tools to fit experimental data, even in the presence of noise. It thrives on data redundancy: the more data points, the smaller the influence of random fluctuations in the data on the derived quantities. In this article, several least-squares methods are presented as well as their corresponding benefits.

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页码：59 / 74

页数：16

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