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For instance, correctly identifying the model input parameter values is a daunting task.
Another recent study by Martinez et al. ([2014]) evaluated the KINEROS/STWIF model input parameter sensitivities to the output.
Rather than as a single value, model input parameter values were given as distributions, from which random input sets of data were constructed.
Risk assessment model input parameter distributions.
The sensitivity of a model input parameter quantifies the change in model output as a function of a defined change in the model input parameter.
Table 5 presents model input parameter values and ranges used in sensitivity analyses.
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A calibration method is given to set the model input parameters, and the modeling choices are detailed.
Figure 3 provides a statistical summary of CV for modeled exposure metrics (output) as a function of model input parameters for all chemicals.
The modeling approach involved independent laboratory-scale experiments to determine the model input parameters.
Definitions of the model input parameters.
These model input parameters are summarised in Table 1.
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