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As will become clear below, a simulation is usually the first step in a two-step process, with the second being the comparison of the physical model with a real physical system (see Section 4 'How are simulators used?').
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In the paper by Kallio and Janhunen (2001), a hybrid code is used above the exobase, and a Monte Carlo simulation is used below.
Third, for each point of the results below, the simulation is run for at least 12 times to make it within 90% confidence interval ±10%.
The analytical approach for test simulation is discussed below.
Because the movements of flaps in two MD simulations were the same, the analysis of only one MD simulation is described below.
If a significant result was obtained (p-value below 0.001), then the simulation was rerun for a larger number of steps.
As mentioned before, the errors between experiment and simulation are below 3%% and the validated model can be used for further study.
The steps used in simulation are given below, and the system parameters used are given in Table 1.
Scaffold properties used for simulation are stated below.
The computational approach and the boundary conditions for each type of simulation are presented in detail below.
The pairs of incremental costs and consequences produced by the Monte Carlo simulation are shown in figure 3. MobileMums has a 98% probability of being cost-effective at a threshold of 64 000 AUD (98% of simulations are below the sloped threshold line).
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