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Applications of Funtional Data Analysis to Material Science

  • S. Naya
  • M. Francisco-Fernández
  • J. Tarrío-Saavedra
  • J. López-Beceiro
  • R. Artiaga
Conference paper
Part of the Contributions to Statistics book series (CONTRIB.STAT.)

Abstract

Thermogravimetric curves (TG) and statistical functional nonparametric methods are used to classify (supervised) 7 wood species and to measure the influence of adding silica micro and nano-particles on the thermal degradation of an epoxy resin. A technique based on the Bayes rule and the Nadaraya-Watson regression estimator and a functional ANOVA for a one way treatment are applied respectively.

Keywords

Gene Expression Data Analysis Pattern Recognition Stochastic Process Probability Theory 
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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References

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    Tarrío-Saavedra, J., Naya, S., Francisco-Fernández, M., Artiaga, R., López-Beceiro, J.: Application of functional ANOVA to the study of thermal stability of micro-nano silica epoxy composites. Chemometrics Intell. Lab. Syst. 105, 114–124 (2011)CrossRefGoogle Scholar
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    Prime, R.B., Bair, H.E., Vyazovkin, S., Gallagher, P.K., Riga, A.: Thermogravimetric analysis (TGA). In:Menczel, J.D, Prime, R.B. (eds.) Thermal analysis of polymers. Fundamentals and applications. Wiley, San José (2009)Google Scholar
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    Tarrío-Saavedra, J., Naya, S., Francisco-Fernández, M., López-Beceiro, J., Artiaga, R.: Functional nonparametric classification of wood species from thermal data. J. Therm. Anal. Calorim., DOI:  10.1007/s10973-010-1157-2 (2010)

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • S. Naya
    • 1
  • M. Francisco-Fernández
    • 1
  • J. Tarrío-Saavedra
    • 1
  • J. López-Beceiro
    • 1
  • R. Artiaga
    • 1
  1. 1.University of A CoruñaA CoruñaSpain

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