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Application of Techniques of Functional Data Analysis to Spectroscopic Data

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Operations Research Proceedings 2002

Part of the book series: Operations Research Proceedings 2002 ((ORP,volume 2002))

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Abstract

A classification and identification problem is solved in the case of functional data. Functional data are data records considered as functions rather than vectors of observations at different values of the argument. This research deals with the spectral lines of rocks, being treated with light in the visible and mid-infrared regions. In a first step Principal Component Analysis in the functional data case will be applied to spectral lines of rock samples of various rock types to find out, whether the spectral lines can be separated.

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References

  1. Ramsay J. 0., Silverman B. W. (2002) Applied Functional Data Analysis. Methods and Case Studies. Springer, Berlin Heidelberg

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  4. James G. M., Hastie T. J. (2001) Functional Linear Discriminat Analysis for Irregular Sampled Curves. Internet

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Author information

Authors and Affiliations

  1. Karl-Franzens University, Graz, Austria

    Vera Hofer

Authors
  1. Vera Hofer
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Editor information

Editors and Affiliations

  1. Institut für Statistik und Operations Research, Universität Graz, Universitätsstraße 15/E3, 8010, Graz, Austria

    Ulrike Leopold-Wildburger

  2. Institut für Mathematik, Universität Klagenfurt, 9020, Klagenfurt, Austria

    Franz Rendl

  3. Fakultät für Wirtschaftswissenschaften BWL VIII: Management Science, Otto-von-Guericke-Universität Magdeburg, 39016, Postfach 4120, Magdeburg, Germany

    Gerhard Wäscher

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© 2003 Springer-Verlag Berlin Heidelberg

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Hofer, V. (2003). Application of Techniques of Functional Data Analysis to Spectroscopic Data. In: Leopold-Wildburger, U., Rendl, F., Wäscher, G. (eds) Operations Research Proceedings 2002. Operations Research Proceedings 2002, vol 2002. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55537-4_81

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  • DOI: https://doi.org/10.1007/978-3-642-55537-4_81

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00387-8

  • Online ISBN: 978-3-642-55537-4

  • eBook Packages: Springer Book Archive

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