Table 2 Average parameter estimates in the stochastic SIR model for different values of the number \(\tau\) of data points used.
From: Model fit vs. predictive reliability: a case study of the 1978 influenza outbreak
| Â | \(\beta\) | \(\gamma\) | \(\delta\) | \(\nu\) | \(R_0\) | AR |
|---|---|---|---|---|---|---|
\(\tau =14\) | 0.0038 | 1.69 | 0.78 | 0.53 | 1.76 | 540 |
\(\tau =9\) | 0.0031 | 1.08 | 1.07 | 0.61 | 2.51 | 643 |
\(\tau =6\) | 0.0033 | 1.18 | 0.68 | 0.62 | 2.48 | 633 |
\(\tau =5\) | 0.0035 | 1.12 | 0.75 | 0.56 | 2.72 | 661 |
