New Method for Material Classification from TGA Data by Nonparametric Regression

Abstract:

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The application of nonparametric method of functional regression for the classification of different types of materials studied by thermo-gravimetric analysis is proposed in this work. The method is illustrated with two case studies for classifying different materials. Some simulation study shows the performance of the method when the correlation between groups parameters and the error variance change.

Info:

Periodical:

Materials Science Forum (Volumes 514-516)

Edited by:

Paula Maria Vilarinho

Pages:

1452-1456

DOI:

10.4028/www.scientific.net/MSF.514-516.1452

Citation:

S. Naya et al., "New Method for Material Classification from TGA Data by Nonparametric Regression ", Materials Science Forum, Vols. 514-516, pp. 1452-1456, 2006

Online since:

May 2006

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Price:

$35.00

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