Latin hypercube sampling was used to randomly select multiple parameter sets from the prior parameter distributions.
The Excel model is based on a probabilistic approach (Monte Carlo simulation [ 14]) that allows the characterisation of multiple parameter uncertainty (i.e. distributions rather than simple means were modelled).
The identification of the relationship among the robustness to multiple parameter perturbation (Equation 13), the sensitivity distribution, and the parameter solution vectors could provide a basis to assume a potential mechanisms generating robustness.
Therefore, a statistical model was constructed based on the multiple parameters such as distribution of proteins in individual sample, between biological or technical replicates.
The second goal of this study is to suggest optimum parameter distributions for the simulation of the multiple reflood tests performed at different facilities with different scales and dimensions.
In the first global optimization process, multiple parameters were varied at the same time within the narrow range to estimate the global parameter distributions.
A multiple parameter optimization viz.
The two final runs converged on comparable parameter distributions.
Survival function parameters were simulated from the estimated parameter distributions.
The triangular distribution was used to describe clinical parameter distributions.
