true param         Estimation Results       Rel err Θ1 212 210 ± 51 18.1% Θ2 2.95 2.95 ± 0.03 0.79% Θ3 1.52 1.52 ± 0.02 1.06% Θ4 190 197 ± 76 27.56% Θ5 4.88 4.88 ± 0.34 5.83% Θ6 1180 1198 ± 829 57% Θ7 1.24 1.24 ± 0.01 0.58% Θ8 32240 32735 ±1518 3.4% Θ9 29090 29849 ± 2270 5.21% Θ10 13.58 13.56 ± 0.38 2.20% Θ11 153000 152754 ± 4439 2.30% Θ12 160 161 ± 7 3.09%

Table 4: Statistics of the estimation results for fully observed Calcium oscillation model. 50 data sets are simulated using the Gillespie algorithm with 100 observations with T=50 for the Calcium oscillation model, (Ca0,g0,plc0)=(10,10,10). For each of the data sets an estimation is performed with the MSS method. The table shows a statistic of the 50 estimates: Parameter name (column 1), true parameter (column 2), averages of estimates (column 3), standard deviation of estimates (column 4) and relative errors (column 5).