Abstract
An overview is given of chemometrics as it can be applied to spectroscopic and other multivariate data. Major chemometrics and data analysis techniques are described. An important aspect is the focus on soft modeling for situations that are too complicated for the traditional hard models to work. Also measurement noise is given due attention. A small example is used to illustrate some ways of working, mainly by using graphics. Selected literature references are given. Part I deals with classical chemometrics. Part 2 presents some,newer developments and includes some more elaborated examples. (C) 2003 Elsevier Science B.V. All rights reserved.
| Original language | English |
|---|---|
| Pages (from-to) | 767-782 |
| Number of pages | 16 |
| Journal | Spectrochimica Acta - Part B Atomic Spectroscopy |
| Volume | 58 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2003 |
Keywords
- chemometrics
- soft modeling
- classification
- curve resolution
- regression
- calibration
- multivariate data analysis
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