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Table 1 CAIC value and Ljung-Box Q value of the candidate seasonal ARIMA models

From: Time series analysis of hemorrhagic fever with renal syndrome in mainland China by using an XGBoost forecasting model

Model CAIC Ljung-Box Q P value
ARIMA (0,1,3) × (1,1,1)12 429.244 7.091 0.994
ARIMA (0,1,3) × (1,1,0)12 427.345 7.429 0.995
ARIMA (0,1,3) × (0,1,1)12 428.220 12.07 0.914
ARIMA (3,1,0) × (1,1,1)12 429.108 7.347 0.992
ARIMA (3,1,0) × (1,1,0)12 427.154 7.559 0.994
ARIMA (3,1,0) × (0,1,1)12 427.666 12.552 0.896
ARIMA (3,1,3) × (1,1,1)12 430.864 7.068 0.972
ARIMA (3,1,3) × (1,1,0)12 428.906 7.333 0.979
ARIMA (3,1,3) × (0,1,1)12 429.528 12.340 0.779