Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/88591
Type of publication: research article
Type of publication (PDB): Straipsnis Clarivate Analytics Web of Science / Article in Clarivate Analytics Web of Science (S1)
Field of Science: Miškotyra / Forestry (A004)
Author(s): Rupšys, Petras
Title: Generalized fixed-effects and mixed-effects parameters height-diameter models with diffusion processes
Is part of: International Journal of Biomathematics. Singapore: World Scientific Publishing., 2015, Vol. 8, No. 5
Extent: p. [1-23]
Date: 2015
Keywords: Stochastic differential equation;Conditional probability density;Mixed-effects parameters;Generalized models
Abstract: Statistical models using stochastic differential equations (SDEs) to describe dynamically evolving natural systems are appearing in the scientific literature with some regularity in recent years. In this study, the SDE mixed-effects parameter models based on a Vasicek non-homogeneous diffusion process are formulated. The breast height diameter-dependent drift function additionally depends on deterministic function that describes the dynamic of certain exogenous stand variables (crown height, ch, crown width, cw, mean breast height diameter, d0, mean height, h0, age, A, soil fertility index, SFI, stocking level, S) versus breast height diameter. The mixed-effects parameters SDE models included a random parameter that affected the models asymptote. The parameter estimators are evaluated by maximum likelihood procedure. The objective of the research was to develop a generalized mixed-effects parameters SDE height–diameter models and to illustrate issues using dataset of Scots pine trees (Pinus sylvestris L.) in Lithuania with the breast height diameter outside the bark larger than 0 cm. The parameters of all used models were estimated using an estimation dataset and were evaluated using a validation dataset. The new developed height–diameter models are an improvement over exogenous stand variables, in that it can be calibrated to a new stand with observed height–diameter pairs, thus improving height prediction
Internet: https://hdl.handle.net/20.500.12259/88591
Affiliation(s): Vytauto Didžiojo universitetas
Žemės ūkio akademija
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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