Parameter Estimation of Nonlinear Models in Forestry.

Article English OPEN
Fekedulegn, Desta ; Mac Siúrtáin, Máirtín Pádraig ; Colbert, Jim J. (1999)
  • Publisher: Finnish Society of Forest Science and the Finnish Forest Research Institute
  • Subject: Parameter estimation | Nonlinear model | Partial derivative | Marquardt iterative method | Initial value

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.
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