A Bayesian Approach to Estimating Seemingly Unrelated Regression for Tree Biomass Model Systems
Accurate estimation of tree biomass is required for accounting for and monitoring forest carbon stocking. Allometric biomass equations constructed by classical statistical methods are widely used to predict tree biomass in forest ecosystems. In this study, a Bayesian approach was proposed and applie...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-12-01
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Series: | Forests |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4907/11/12/1302 |