menu ☰
menu ˟

Parameter Estimation of Nonlinear Models in Forestry.

Creator:

Fekedulegn, Desta; Mac Siúrtáin, Máirtín Pádraig; Colbert, Jim J.;

Institution: Finnish Society of Forest Science and the Finnish Forest Research Institute
Subject Keywords: Parameter estimation; Nonlinear model; Partial derivative; Marquardt iterative method; Initial value;
Region:
Description:

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.

Related: http://www.metla.fi/silvafennica/full/sf33/sf334327.pdf
Suggested citation:

Fekedulegn, Desta; Mac Siúrtáin, Máirtín Pádraig; Colbert, Jim J.; . () Parameter Estimation of Nonlinear Models in Forestry. [Online]. Available from: http://publichealthwell.ie/node/665918 [Accessed: 17th July 2019].

  

View your saved citations and reading lists

Contributor:


 
Click here to view all the resources gathered from this organisation's website.