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Parameter Estimation of Nonlinear Models in Forestry.
Date Issued
1999-11
Date Available
2013-01-14T16:49:14Z
Abstract
Partial derivatives of the negative exponential, monomolecular, Mitcherlich, Gompertz,
logistic, Chapman-Richards, von Bertalanffy, Weibull and the Richard’s nonlinear
growth models are presented. The application of these partial derivatives in estimating
the model parameters is illustrated. The parameters are estimated using the Marquardt
iterative method of nonlinear regression relating top height to age of Norway spruce
(Picea abies L.) from the Bowmont Norway Spruce Thinning Experiment. Formulas
that provide good initial values of the parameters are specified. Clear definitions of the
parameters of the nonlinear models in the context of the system being modelled are
found to be critically important in the process of parameter estimation.
Type of Material
Journal Article
Publisher
Finnish Society of Forest Science and the Finnish Forest Research Institute
Journal
Silva Fennica
Volume
33
Issue
4
Start Page
327
End Page
336
Copyright (Published Version)
1999 Author(s)
Language
English
Status of Item
Peer reviewed
ISSN
00375330
This item is made available under a Creative Commons License
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