Appendix II – Bootstrap method
To estimate robust parameters and to avoid being stuck at local minima,
the bootstrap methodology was followed (Frutiger et al., 2016). With it
the expected parameter values and their confidence intervals were
determined.
The model minimises the normalised root squared mean deviation (Eq. 1)
between the experimental data and the simulated data of the model.