Table 3 Comparison of prediction performance of different parameter
From: Application of SARIMA model in forecasting and analyzing inpatient cases of acute mountain sickness
Model | Ljung-Box Q | p | Stationary R-squared | Normalized BIC |
|---|---|---|---|---|
AR (1) | 51.25 |  < 0.01 | 0.28 | 8.88 |
MA (1) | 56.25 |  < 0.01 | 0.26 | 8.91 |
ARMA (1,1) | 46.88 |  < 0.01 | 0.29 | 8.92 |
ARIMA (1,1,1) | 60.29 |  < 0.01 | 0.26 | 8.89 |
ARIMA (0,1,1) | 88.04 |  < 0.01 | 0.07 | 9.06 |
ARIMA (1,1,0) | 71.40 |  < 0.01 | 0.03 | 9.12 |
SARIMA (1,1,1) × (1,1,1)12 | 24.10 | 0.05 | 0.54 | 8.50 |
SARIMA (1,1,1) × (0,1,1)12 | 20.85 | 0.14 | 0.55 | 8.42 |
SARIMA (1,1,1) × (1,1,0)12 | 22.28 | 0.10 | 0.49 | 8.54 |
SARIMA (1,1,1) × (1,0,0)12 | 20.01 | 0.17 | 0.53 | 8.49 |
SARIMA (1,1,1) × (1,0,1)12 | 18.97 | 0.17 | 0.59 | 8.41 |