Resolution:
## Figure 5.
MPSA error surfaces, ECDFs and values of sensitivity indices for error calculated
using deterministic model with the mean squared error of product trajectories (left
column) and using stochastic model with the absolute difference of a value of the
formula (3) (right column). Both procedures were run for 400 samples of parameters. Samples were generated using
the Latin hypercube sampling method [36], from a uniform distribution over a range from to 4 × the nominal value of each of investigated parameters (Equation (2)). As a
threshold for classifying samples as acceptable or unacceptable, we took median of
error values. The larger the value of a statistics which compares ECDFs, the more
significant is a parameter with respect to a property of interest.
Rybiński |