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Surveys a number of methods of inverting data to obtain model parameter estimates.
The rat models were then allometrically scaled to obtain models for inhalatory exposure for man.
These models balance complexity with accuracy to obtain models that are sufficient for dynamic optimization and design as well as decision and control algorithms.
Furthermore, specific regularisation processes had to be introduced in order to obtain models of acceptable quality.
Mplus software (18) was used to obtain model estimates.
The Solver command in EXCEL software was used to obtain model parameters.
Considering the non-linearity of Figure 2, a quadratic term was added to Model (8) to obtain Model (9).
M-K coefficients were fixed to zero according to Table 1, to obtain models with K free parameters.
Additional explanatory factors were added (first one at a time and then in groups) to obtain Models II-V.
It is argued that the obtained model is more predisposed to analysis and computations.
The obtained model was verified successfully by the confirmation experiments.
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