Research Article
A Fast and Efficient Estimation of the Parameters of a Model of Accident Frequencies via an MM Algorithm
Table 5
Results for Scenario
5 (
and
). Values in brackets are standard deviations.
| | MM | SqS3 | NR | BFGS |
| | Convergence proportion (%) | 100 | 100 | 97.9 | 4.1 | Iterations | 34.9 (3.5) | 8.4 (0.7) | 14.3 (4.9) | 14 (0) | CPU time (secs) | 0.017 | 0.007 | 0.338 | 1.162 | Time ratio | 1.00 | 0.42 | 19.54 | 67.25 | Log-likelihood | -2045.46 | -2045.46 | -2045.65 | -2046.96 | MSE | | | | |
| | Convergence proportion (%) | 100 | 100 | 96.8 | 16.2 | Iterations | 46.3 (3.6) | 10.1 (0.8) | 14.9 (5.2) | 6.6 (7.2) | CPU time (secs) | 0.018 | 0.006 | 0.347 | 0.582 | Time ratio | 1.00 | 0.35 | 19.25 | 32.31 | Log-likelihood | -203353.48 | -203353.48 | -203355.72 | -245597.55 | MSE | | | | |
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