Some recent trends in the calibration literature

被引：67

作者：

Geladi, P ^{[1
]}

机构：

[1] Umea Univ, Dept Chem, SE-90187 Umea, Sweden

来源：

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | 2002年 / 60卷 / 1-2期

关键词：

multivariate calibration; regression; residual; diagnostics; validation; prediction; PLSR; OLS; RR; GRR; CR; PCovR; SVD; CLS; nonlinearities; calibration transfer;

D O I：

10.1016/S0169-7439(01)00197-6

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Calibration is a part of all scientific activity and many calibration methods have been proposed and introduced over the years. Univariate calibration is quite simple but not as useful as multivariate calibration, which is complicated. Outsiders and active chemometricians alike tend to lose over-view of the literature. What are the differences between the calibration methods? What should be looked at besides the choice of calibration methods? What are the best diagnostics and how should they be interpreted? Many more questions can be asked. A general introduction to some of the topics is given and supplemented by recent literature. (C) 2002 Elsevier Science B.V. All rights reserved.

引用

页码：211 / 224

页数：14