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Table 2 Selection of the univariate ARIMA model

From: Forecasting incidence of hand, foot and mouth disease using BP neural networks in Jiangsu province, China

Model AIC BIC Ljung-Box test
Qa p
ARIMA(1,0,1)(1,1,0)12 1132.12 1140.43 10.233 0.5272
ARIMA(1,0,0)(1,1,0)12 1135.73 1141.96 17.418 0.1432
ARIMA(2,0,1)(1,1,0)12 1133.77 1144.16 10.187 0.4422
ARIMA(2,0,0)(1,1,0)12 1134.98 1143.29 13.207 0.2944
ARIMA(3,0,1)(1,1,0)12 1134.63 1147.09 9.118 0.4455
ARIMA(3,0,0)(1,1,0)12 1132.76 1143.15 8.6807 0.5811
ARIMA(4,0,1)(1,1,0)12 1136.61 1151.15 8.4172 0.4136
ARIMA(4,0,0)(1,1,0)12 1134.64 1147.11 8.6288 0.4917
  1. aQ denotes the statistics of Ljung-Box test