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Numerical Extraction of Components from Mixture Spectra by Multivariate Data Analysis

  • Willem Windig
  • Henk L. C. Meuzelaar
Part of the Modern Analytical Chemistry book series (MOAC)

Abstract

The authors know by experience that, if presented in purely mathematical terms, the multivariate data analysis techniques which will be discussed in this chapter can be difficult to understand for nonmathematicians. Therefore we will explain techniques such as factor and discriminant analysis, as well as subsequent procedures aimed at extracting chemical information, primarily in geometrical terms. After the basic principles have been visualized, these principles will then be rationalized mathematically so that a link can be established with the more mathematically oriented literature. The paragraphs containing the mathematical rationalizations can be skipped, if desired.

Keywords

Discriminant Analysis Pure Component Mass Variable Component Axis Mathematical Rationalization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Plenum Press, New York 1987

Authors and Affiliations

  • Willem Windig
    • 1
  • Henk L. C. Meuzelaar
    • 1
  1. 1.Biomaterials Profiling CenterThe University of UtahSalt Lake CityUSA

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