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Each model differs slightly.
The species grouping used in this model differs slightly from Vanclay (1989a) in using the same species groups for growth, harvesting and volume estimation, whereas Vanclay's (1989a) model used a 3-digit species code, with each digit denoting the volume, harvesting or growth equation to be applied.
Because of this function, the model differs slightly from the one we proposed in Harrison et al. (2013).
The model differs slightly from the usual (unconditional) logistic regression model in that there is no intercept.
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As shown in Fig. 6, the results generated by our proposed model differ slightly from the observed traffic volume values, and the overall trends of these two time series match.
Our multivariate model differed slightly and there was less dispersion of the carbon dioxide concentrations in our data.
Adjusted SHI expenditures and adjusted costs of formal care as per the regression model differed slightly from the sum of adjusted mean costs in the distinct categories, which results from the stepwise calculation within the two-part model (approach 2).
The As6 model differed slightly from the models that examined small-scale genetic structure using microsatellites [ 26] and the tested a priori groupings (models As8 and As9 – Table 2), and it could explain the nonsignificant difference between NST and GST from the PERMUT analysis for A. schaueriana.
The assumptions used in the livestock system models differed slightly between those for the Woodland and Savanna biomes.
While models differed slightly, every scenario projected significant declines in suitable habitat within the Appalachian Highlands as early as 2020.
Likewise, the rankings of the predictor variables by their relative (nominal) statistical significance in the linear and logistic regression models differed slightly for two samples and between model types (not shown).
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