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The final model coefficients were derived from running 'glmnet' on the whole dataset (1819 drugs) with the optimal lambda.
All model coefficients were obtained from literature data.
Species differences in model coefficients were found during the 1997 growing season.
Many model coefficients were statistically different between surface types and impacts.
The model coefficients were estimated through maximum likelihood methodology, which was used to produce an unbiased match with the predictions of 3-D analyses and proposed simplified model.
The model coefficients were fitted to experimental data at saturated conditions and used to predict transport properties across a wide range of temperatures, up to 1000 bar.
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The principal h-d models also vary on how the model coefficients are being interpreted, which is especially important if they are then modelled as smooth functions of predictors.
The model coefficients are identified in terms of measurable parameters.
The physical implications of the model coefficients are also discussed.
Model coefficients are calibrated for each month using historical data.
The calibration of model coefficients was carried out on the basis of tensile tests.
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