Table 3 AIC values, BIC values, RMSE and MAPE for different SARIMA models
From: Forecasting the incidence of mumps in Chongqing based on a SARIMA model
| Â | AIC | BIC | Goodness of Fits for Models | |
|---|---|---|---|---|
RMSE | MAPE(%) | |||
SARIMA(1,1,1)(1,1,0)12 | 57.34 | 69.52 | 0.2686 | 41.2841 |
SARIMA(0,1,2)(1,1,0)12 | 61.93 | 74.11 | 0.2734 | 44.7352 |
SARIMA(1,1,1)(0,1,1)12 | 34.42 | 46.60 | 0.2450 | 40.5910 |
SARIMA(2,1,1)(0,1,1)12 | 30.05 | 45.27 | 0.2392 | 44.3186 |
SARIMA(1,1,2)(0,1,1)12 | 31.14 | 46.36 | 0.2402 | 43.0071 |