Table 2 ARIMA and STL Time-Series analysis.
From: Neural networks to model COVID-19 dynamics and allocate healthcare resources
Model | Parameter | Estimate | Std. Error | t-value | p-value | Confidence Interval [95%] |
|---|---|---|---|---|---|---|
ARIMA (2,1,1) | AR(1) | 0.65 | 0.05 | 13.00 | < 0.001 | [0.55, 0.75] |
|  | AR(2) | -0.30 | 0.08 | -3.75 | < 0.001 | [-0.46, -0.14] |
|  | MA(1) | 0.35 | 0.04 | 8.75 | < 0.001 | [0.27, 0.43] |
|  | Constant | 15.00 | 3.50 | 4.29 | < 0.001 | [8.12, 21.88] |
STL | Trend | 0.78 | 0.02 | 39.00 | < 0.001 | [0.74, 0.82] |
|  | Seasonal | 0.15 | 0.01 | 15.00 | < 0.001 | [0.13, 0.17] |
|  | Remainder | 0.07 | 0.01 | 7.00 | < 0.001 | [0.05, 0.09] |
