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In most cases, a nonlinear mixed modelling approach was used with models fitted using the NLMIXED procedure in Version 9.3 of the SAS software (SAS Institute Inc. 2011).
We modelled reporting rates using generalised additive or linear mixed models, fitted using the gamm function in package mgcv for R 2.6.0 [50], [50].
We subsequently compared the explanatory power of texture-only models with models fitted using landscape composition metrics derived from the National Land Cover Dataset, as well as models fitted using both texture and composition metrics.
This paper considers the design problem for linear regression models fitted using both function and gradient data.
For the models fitted using ANN and SVM algorithms, the TM2 band was the most important predictor variable for basal area and volume.
The OPLS-DA models fitted using spectral data for diets FM and FZ were not significantly different according to CV-ANOVA (p ≥ 0.05).
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Analyses were performed using the SAS® system version 8.02 for Unix (Cary, North Carolina) with predictive models fit using PROC GENMOD.
All statistical analyses were conducted using the computing environment R [ 77] with mixed-effects models fit using lme4[ 78].
The model fitted using ANN algorithm did not produce estimates of volume that were consistent with measured values (Fig. 3h).
a marginal regression model (fitted using standard maximum likelihood) that ignores clustering ('No clustering').
Table 3 lists the final multivariable model fitted using the likelihood method and the exact method.
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