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. 2013 Nov 6;8(11):e80969. doi: 10.1371/journal.pone.0080969

Table 1. Comparison of three potential ARIMA models.

Model R2 MSE SBC AIC
ARIMA (0, 1, 1) × (1, 1, 0)12 0.7810 0.6616 -25.4473 -30.2850
ARIMA (0, 1, 1) × (0, 1, 1)12 0.7790 0.6691 -24.5173 -29.3550
ARIMA (2, 1, 0) × (0, 1, 1)12 0.7840 0.6521 -22.2328 -29.4893

ARIMA=the autoregressive integrated moving average; R2 =coefficient of determination; MSE=mean square error; AIC=Akaike information criterion; SBC=Schwarz Bayesian information criterion.