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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
- 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