The Application of Machine Learning in the Corona Era, With an Emphasis on Economic Concepts and Sustainable Development Goals
Table 22.
ARMA forecasting
| Automatic ARIMA Forecasting | | Selected dependent variable: D(NEW_DEATHS) | | Date: 05/06/22 Time: 08:11 | | Sample: 1 537 | | Included observations: 536 | | Forecast length: 0 | | | | | | | | Number of estimated ARMA models: 25 | | Number of non-converged estimations: 0 | | Selected ARMA model: (4,2) | | AIC value: 9.07883619765 | | | | | | |
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