Parameter Estimation of Nonlinear Models in Forestry.

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Title: Parameter Estimation of Nonlinear Models in Forestry.
Authors: Fekedulegn, Desta
Mac Siúrtáin, Máirtín Pádraig
Colbert, Jim J.
Permanent link: http://hdl.handle.net/10197/4032
Date: Nov-1999
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)
Keywords: Parameter estimationNonlinear modelPartial derivativeMarquardt iterative methodInitial value
Other versions: http://www.metla.fi/silvafennica/full/sf33/sf334327.pdf
Language: en
Status of Item: Peer reviewed
Appears in Collections:Agriculture and Food Science Research Collection

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