Nonlinear Quantile Mixed-Effects Models for Prediction of the Maximum Crown Width of <i>Fagus sylvatica</i> L., <i>Pinus nigra</i> Arn. and <i>Pinus brutia</i> Ten.

Nonlinear Quantile Mixed-Effects Models for Prediction of the Maximum Crown Width of <i>Fagus sylvatica</i> L., <i>Pinus nigra</i> Arn. and <i>Pinus brutia</i> Ten.

In the current study, a novel approach combining quantile regression with nonlinear mixed-effects (<i>QR-NLME</i>) modeling was applied to predict the maximum crown width (<i>cw<sub>max</sub></i>) of three economically important forest species—the European beech (...

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Bibliographic Details
Main Authors: Dimitrios I. Raptis, Vassiliki Kazana, Stavros Kechagioglou, Angelos Kazaklis, Christos Stamatiou, Dimitra Papadopoulou, Thekla Tsitsoni
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Forests
Subjects:
stochastic approximation of the expectation-maximization algorithm
crown competition factor
stand density
forest management
Online Access:https://www.mdpi.com/1999-4907/13/4/499

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