Research Article
Epidemic Situation of Brucellosis in Jinzhou City of China and Prediction Using the ARIMA Model
Table 2
Correlation analysis of 3 candidate models.
| | Nonseasonal model | Seasonal model | AR1 | MA1 | SAR1 | SMA1 |
| ARIMA(1,1,1)(0,1,0)12 | | | | | AR1 | 1 | 0.34 | — | — | MA1 | 0.34 | 1 | — | — | ARIMA(1,1,1)(0,1,1)12 | | | | | AR1 | 1 | 0.64 | — | 0.04 | MA1 | 0.64 | 1 | — | −0.10 | SMA1 | 0.04 | −0.10 | — | 1 | ARIMA(1,1,1)(1,1,0)12 | | | | | AR1 | 1 | 0.66 | 0.09 | — | MA1 | 0.66 | 1 | 0.15 | — | SAR1 | 0.09 | 0.15 | 1 | — |
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Note. The parameters of three candidate models are all less than 1, so there is hardly any correlation.
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