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

Published in

Spectrochimica Acta Part B: Atomic Spectroscopy
2003, Volume: 58, number: 5, pages: 767-782
Publisher: PERGAMON-ELSEVIER SCIENCE LTD

SLU Authors

• Geladi, Paul

  • Department of Forest Biomaterials and Technology, Swedish University of Agricultural Sciences
    

Publication identifier

DOI: https://doi.org/10.1016/S0584-8547(03)00037-5

Permanent link to this page (URI)

https://res.slu.se/id/publ/1104