Nonlinear mixed-effects modeling of variable-exponent taper equations for lodgepole pine in Alberta, Canada

By Yuqing Yang, S. Huang, Guillermo Trincado, S. Meng. European Journal of Forest Research, 2009

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Calibrating fixed- and mixed-effects taper equations (2011, methodology): “…mixedeffects models have been applied to predict tree taper because they take into account the correlation among multiple diameter measurements on an individual stem (Garber and Maguire, 2003; Leites and Robinson, 2004; Trincado and Burkhart, 2006; Lejeune et al., 2009; Yang et al., 2009).”
Modeling Forest Trees and Stands (2012, background): “…been the subject of many recent treatises both within the biometrical forestry literature (Tasissa and Burkhart 1998; Valentine and Gregoire 2001; Trincado and Burkhart 2006; Garber and Maguire 2003; Leites and Robinson 2004; Eerikäinen 2001; Yang et al. 2009) and the wider statistical literature.”
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): “This technique has been demonstrated for calibrating regional, height–age (e.g., Wang et al. 2007), tree height (e.g., Temesgen et al. 2008), and stem taper equations (e.g., Yang et al. 2009a, b).”