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Table 2 Numerical parameters used in our simulation study. The numerical parameters that were altered for the sensitivity analysis are marked in bold
c i | c r | h | b | \(L_{i}^{u}=L_{i}^{d}\) | \(L_{r}^{u}=L_{r}^{d}\) | D | |
|---|---|---|---|---|---|---|---|
Base | 2000 | +5% | 100 | 1900 | \(\thicksim B(12,0.5)+1\) | \(\thicksim B(6,0.5)+1\) | \(\thicksim B(25,0.4)\) |
1 | 2000 | +5% | 100 | 1900 | \(\thicksim B(8,0.75) +1\) | \(\thicksim B(6,0.5)+1\) | \(\thicksim B(25,0.4)\) |
2 | 2000 | +5% | 100 | 1900 | \(\thicksim B(10,0.6)+1\) | \(\thicksim B(6,0.5)+1\) | \(\thicksim B(25,0.4)\) |
3 | 2000 | +5% | 100 | 1900 | \(\thicksim B(18,0.33)+1\) | \(\thicksim B(6,0.5)+1\) | \(\thicksim B(25,0.4)\) |
4 | 2000 | +5% | 100 | 1900 | \(\thicksim B(12,0.5)+1\) | \(\thicksim B(6,0.5)+1\) | \(\thicksim B(15,0.67)\) |
5 | 2000 | +5% | 100 | 1900 | \(\thicksim B(12,0.5)+1\) | \(\thicksim B(6,0.5)+1\) | \(\thicksim B(20,0.5)\) |
6 | 2000 | +5% | 100 | 1900 | \(\thicksim B(12,0.5)+1\) | \(\thicksim B(6,0.5)+1\) | \(\thicksim B(30,0.33)\) |
7 | 2000 | +2% | 100 | 1900 | \(\thicksim B(12,0.5)+1\) | \(\thicksim B(6,0.5)+1\) | \(\thicksim B(25,0.4)\) |
8 | 2000 | +7% | 100 | 1900 | \(\thicksim B(12,0.5)+1\) | \(\thicksim B(6,0.5)+1\) | \(\thicksim B(25,0.4)\) |
9 | 2000 | +10% | 100 | 1900 | \(\thicksim B(12,0.5)+1\) | \(\thicksim B(6,0.5)+1\) | \(\thicksim B(25,0.4)\) |
10 | 2000 | +5% | 100 | 900 | \(\thicksim B(12,0.5)+1\) | \(\thicksim B(6,0.5)+1\) | \(\thicksim B(25,0.4)\) |
11 | 2000 | +5% | 100 | 4900 | \(\thicksim B(12,0.5)+1\) | \(\thicksim B(6,0.5)+1\) | \(\thicksim B(25,0.4)\) |
12 | 2000 | +5% | 100 | 9900 | \(\thicksim B(12,0.5)+1\) | \(\thicksim B(6,0.5)+1\) | \(\thicksim B(25,0.4)\) |