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. 2016 Sep 1;11(9):e0159902. doi: 10.1371/journal.pone.0159902

Table 9. ARSE of FIMSS and of the 50 estimates for experimental designs in Calcium oscillation model.

Design Δt = 0.1 Δt = 0.2 Δt = 0.5
Parameter FI Δt = 10 Exp Δt = 10 FI Δt = 20 Exp Δt = 20 FI Δt = 50 Exp Δt = 50
θ1 13.3% 14.7% 11.% 12.6% 11.2% 14.8%
θ2 1.% 0.8% 0.9% 0.7% 0.7% 0.8%
θ3 1.3% 2.3% 1.1% 1.8% 0.9% 0.8%
θ4 15.8% 104.4% 11.4% 81.% 11.8% 20.%
θ5 5.2% 6.8% 5.5% 4.1% 5.% 4.3%
θ6 49.5% 66.9% 54.2% 41.5% 50.3% 49.6%
θ7 1.4% 1.4% 0.8% 1.% 0.5% 0.8%
θ8 6.7% 5.3% 3.7% 4.7% 2.4% 2.%
θ9 10.8% 8.7% 5.1% 7.4% 3.2% 2.6%
θ10 1.8% 1.5% 1.8% 1.4% 2.% 1.2%
θ11 1.8% 1.5% 1.9% 1.4% 2.% 1.2%
θ12 2.2% 2.4% 2.2% 2.3% 2.2% 3.2%
Median 3.7% 3.9% 2.9% 3.2% 2.3% 2.3%

The table displays the ARSE gained from the FIMSS and the ARSE from FIemp for each of the parameters (rows) and each of the experimental design (columns). The last row gives the median of the components θ1 to θ12. The FIMSS Fisher information matrix captures all ARSEs well.