Table 1. Fitting quality of the four model variants (MSE- Mean Squared Error, AIC – Akaike Information Criterion).
Measure | Model M1 |
Model M2 |
||
---|---|---|---|---|
V 1 | V 2 | V 1 | V 2 | |
MSE | 0.0149 ± 0.0020 | 0.0189 ± 0.0029 | 0.0154 ± 0.0020 | 0.0150 ± 0.0022 |
AIC | −1180.40 ± 55.28 | −1087.93 ± 59.16 | −1156.94 ± 55.74 | −1166.96 ± 58.65 |
Number of estimated parameters | 39 | 36 | 43 | 40 |
Smaller values of MSE and AIC correspond to higher quality models.