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.
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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)
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Naya, S., Francisco-Fernández, M., Tarrío-Saavedra, J., López-Beceiro, J., Artiaga, R. (2011). Applications of Funtional Data Analysis to Material Science. In: Ferraty, F. (eds) Recent Advances in Functional Data Analysis and Related Topics. Contributions to Statistics. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-2736-1_36
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DOI: https://doi.org/10.1007/978-3-7908-2736-1_36
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Publisher Name: Physica-Verlag HD
Print ISBN: 978-3-7908-2735-4
Online ISBN: 978-3-7908-2736-1
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