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Once the regression model form was defined, various temporal scales of DOC load and concentration were predicted to interrogate the output data.
The third model form was the nonlinear function used by Fonweban et al. (2013) to model the radial variation in Sitka spruce spiral grain angle.
Once the most suitable model form was identified, the second step was to determine whether the model parameters varied as a function of height within the tree.
The model form was then determined individually for each meteorological variable by comparing performances of different models and by analyzing the Power Spectra Density of time series.
Therefore, to allow all tree components and whole tree biomass models to have the same regressors, and thus achieve additivity, this model form was generalized for all tree components and whole tree biomass models.
The second model form was based on the approach taken by Tian et al. (1995), who modelled SGA as a function of the natural logarithm of cambial age: {y}_{ijkl}={delta}_0+{delta}_1 logC{A}_{ijkl}+{d}_{0,i}+{d}_{0,ij}+{d}_{0,ijk}+{varepsilon}_{ijkl} (2).
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Speer's designs for Berlin, lovingly rendered in model form, were so absurdly grandiose that they required slave armies to build them.
This model form is executed using the generalized linear model procedure PROC GENMOD in the SAS statistical software [19].
We investigate the problem of designing for linear regression models, when the assumed model form is only an approximation to an unknown true model, using two novel approaches.
Therefore, the root system model form is a function (sum) of the predictors of the models (5) and (6).
One benchmark for establishing the suitability of a model form is how the desired null hypothesis is nested within it.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com