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Nonlinear regression checking via local polynomial smoothing with applications to thermogravimetric analysis

Nonlinear regression checking via local polynomial smoothing with applications to thermogravimetric analysis

Authors :
Salvador Naya
Ricardo Cao
Source :
Journal of Chemometrics. 23:275-282
Publication Year :
2009
Publisher :
Wiley, 2009.

Abstract

A goodness-of-fit test statistic for nonlinear regression models based on local polynomial estimation is proposed in this paper. The criterion used to construct the test is the distance between the parametric fit and the nonparametric regression estimation. The good performance of the test is shown via a simulation study. The method is applied to check a logistic mixture regression model for real data coming from a thermal analysis problem. Copyright © 2009 John Wiley & Sons, Ltd.

Details

ISSN :
1099128X and 08869383
Volume :
23
Database :
OpenAIRE
Journal :
Journal of Chemometrics
Accession number :
edsair.doi...........a32764e991e4f0eb291f4f3865a0786b
Full Text :
https://doi.org/10.1002/cem.1227