Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/88843
Type of publication: conference paper
Type of publication (PDB): Konferencijų tezės nerecenzuojamuose leidiniuose / Conference theses in non-peer-reviewed publications (T2)
Field of Science: Matematika / Mathematics (N001)
Author(s): Rupšys, Petras
Title: The Use of Copulas to Practical Estimation of Multivariate Stochastic Differential Mixed-Effects Models
Is part of: Seventh International Conference on Application of Mathematics in Technical and Natural Sciences 28 June – 3 July 2015, Albena, Bulgaria : Book of Abstracts. Albena, 2015
Extent: p. 54
Date: 2015
Abstract: A system of stochastic differential equations (SDE) with mixed-effects parameters and multivariate normal copula density function were used to develop tree height model for Scots pine trees in Lithuania. A two-step maximum likelihood parameter estimation method is used and computational guidelines are given. After fitting the conditional probability density functions to outside bark diameter at breast height, and total tree height, a bivariate normal copula distribution model was constructed. Predictions from the mixed-effects parameters SDE tree height model calculated during this research were compared to the regression tree height equations. The results are implemented in the symbolic computational language MAPLE
Internet: https://hdl.handle.net/20.500.12259/88843
Affiliation(s): Vytauto Didžiojo universitetas
Žemės ūkio akademija
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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