The empirical modelling methods are very useful when the fundamental models are extremely complicated.  It must be noted that caution should be used when employing empirical models because of the limitations of the range over which they are valid.  In general, the parameters should be determined within ± 20%.   For some complex processes, greater model inaccuracy is typical because of extreme non-linearity, noise, and many unmeasured disturbances.