化学计量学
分析化学(期刊)
计算机科学
化学
色谱法
标识
DOI:10.1016/s0584-8547(03)00037-5
摘要
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 1 deals with classical chemometrics. Part 2 presents some newer developments and includes some more elaborated examples.
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