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A Bayesian Approach to Estimating Seemingly Unrelated Regression for Tree Biomass Model Systems
Bayesian approaches seemingly unrelated regression Korean larch Markov chain Monte Carlo Gibbs sampler
2024/1/19
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 p...
Deforestation modelling using logistic regression and GIS
manmade areas physiographic factors
2015/5/18
A methodology has been used by means of which modellers and planners can quantify the certainty in
predicting the location of deforestation. Geographic information system and logistic regression ana...