Use this url to cite publication: https://hdl.handle.net/20.500.12259/83050
Age-varying bivariate distribution models for growth prediction
Type of publication
Straipsnis kitoje duomenų bazėje / Article in other database (S4)
Author(s)
| Author | Affiliation | |
|---|---|---|
LT | ||
Title
Age-varying bivariate distribution models for growth prediction
Is part of
Mathematical models for engineering science: International conference on mathematical models for engineering science (MMES'10) , Puerto De La Cruz, Tenerife, November 30 - December 2, 2010. Puerto De La Cruz: Published by WSEAS Press, 2010
Date Issued
| Date |
|---|
2010 |
Publisher
Puerto De La Cruz: Published by WSEAS Press
Is Referenced by
Extent
p. 250-255
Abstract (en)
Abstract— Height-diamelcr models are classically analyzed by fixed or mixed linear and non-linear regression models. In order to possess the among-plot variability, we propose stochastic differential equations thai are deduced from the standard deterministic dynamic ordinary differential equations by adding the process variability to the growth dynamic. The advantage of the stochastic differential equation framework is that it analyzes a residual variability, corresponding to measurements error, and an individual variability to represent heterogeneity between subjects. An analysis of 1575 Scots pine (Pimis sylvestris) trees provided the data for this study. The results are implemented in the symbolic computational language MAPLE.
Type of document
type::text::journal::journal article::research article
Language
Anglų / English (en)
Coverage Spatial
Ispanija / Spain (ES)
ISBN (of the container)
978-960-474-252-3
ISSN (of the container)
1792-6734
Other Identifier(s)
VDU02-000044601