Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/86279
Type of publication: Straipsnis konferencijos medžiagoje kitose duomenų bazėse / Article in conference proceedings in other databases (P1c)
Field of Science: Matematika / Mathematics (N001)
Author(s): Rupšys, Petras
Title: Stochastic differential equation approach of height-diameter equations of individual trees
Is part of: Applied information and communication technologies [elektroninis išteklius]: proceedings of the 6-th international scientific conference Jelgava Latvia, april 25-26, 2013. Jelgava, 2013
Extent: p. 163-170
Date: 2013
Keywords: Diameter;Height;Mean;Stochastic differential equation;Threshold parameter;Transition density function
Abstract: In this paper we use a stochastic differential equation to describe the dynamic evolution of the height of an individual tree. The first model is defined by Gompertz shape stochastic differential equation. The second model is defined by Gompertz stochastic differential equation with a threshold parameter. This model can be considered as an extension of the three parameter stochastic Gompertz model with the addition of a fourth parameter. The parameters are estimated by considering discrete sampling of the diameter and height and by using maximum likelihood procedure. Two developed models were employed to compare predicted values with observed values of a height. Performance statistics for developed height-diameter equations included statistical indexes, Shapiro-Wilk test and normal probability plot. We used the data of tropical Atlantic moist forest trees in southeastern Brazil (Scaranello et al., 2012) to validate our modelling technique. Results indicated that our model is able to capture the behaviour of tree height quite accurately. All results were implemented in a symbolic algebra system MAPLE
Internet: https://hdl.handle.net/20.500.12259/86279
Affiliation(s): Vytauto Didžiojo universitetas
Žemės ūkio akademija
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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