Research Article
A Fast and Efficient Estimation of the Parameters of a Model of Accident Frequencies via an MM Algorithm
Table 2
Results for Scenario
2 (
and
). Values in brackets are standard deviations.
| | MM | SqS3 | NR | BFGS |
| | Convergence proportion (%) | 100 | 100 | 99.6 | 50.4 | Iterations | 29.3 (4.2) | 7.8 (0.8) | 8.1 (3) | 14 (0.1) | CPU time (secs) | 0.007 | 0.003 | 0.015 | 0.283 | Time ratio | 1.00 | 0.47 | 2.14 | 39.93 | Log-likelihood | -391.24 | -391.24 | -391.21 | -391.6 | MSE | | | | |
| | Convergence proportion (%) | 100 | 100 | 99.7 | 53.3 | Iterations | 38.2 (4.1) | 9.1 (0.8) | 8.4 (2.9) | 18.3 (3.4) | CPU time (secs) | 0.009 | 0.004 | 0.016 | 0.533 | Time ratio | 1.00 | 0.43 | 1.80 | 59.55 | Log-likelihood | -39181.57 | -39181.57 | -39181.5 | -39942.08 | MSE | | | | |
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