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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