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Table 2 Goodness of fit statistics for plausible ARIMA modelsa

From: Prevalence of hemorrhagic fever with renal syndrome in Yiyuan County, China, 2005–2014

Models AIC SBC
ARIMA (2, 1, 1) × (0, 1, 0)12 519.854 524.962
ARIMA (2, 1, 0) × (0, 1, 1)12 520.812 525.920
ARIMA (1, 1, 1) × (1, 1, 1)12 522.897 533.113
ARIMA (2, 1, 1) × (0, 1, 1)12 516.855 524.517
  1. a AIC = Akaike information criterion; SBC = Schwarz Bayesian criterion