Modelling and prediction of dominant height and site index of Eucalyptus globulus plantations using a nonlinear mixed-effects model approach

By Yue Wang, V. Lemay, T. Baker. 2007

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Height–diameter equations for larch plantations in northern and northeastern China: a comparison of the mixed-effects, quantile regression and generalized additive models (2016, methodology): “The mixed-effects model provides a description of variability at each sampling level and generates covariance structures for both random effects and error terms (Lindstrom and Bates, 1990; Lappi, 1997; Wang et al., 2007).”
Estimating and predicting bark thickness for seven conifer species in the Acadian Region of North America using a mixed-effects modeling approach: comparison of model forms and subsampling strategies (2011, methodology): “Recent applications of this technique were presented in Wang et al. (2007) and Meng and Huang (2009), where the focus was mostly placed on height–age modeling, and in Yang et al. (2009a, b) on stem profile modeling.”
Forest Growth and Yield Modeling (2011, methodology): “Assorted data structures have been used to estimate parameters for a GADA site index equation (Wang et al., 2007a), but the choice of which is used can have a significant influence on the derived values (Cieszewski and Strub, 2007).”