biogeme 3.2.6 [2020-05-05]
Python package
Home page: http://biogeme.epfl.ch
Submit questions to https://groups.google.com/d/forum/biogeme
Michel Bierlaire, Transport and Mobility Laboratory, Ecole Polytechnique Fédérale de Lausanne (EPFL)
This file has automatically been generated on 2020-05-05 15:53:34.235044
If you drag this HTML file into the Calc application of OpenOffice, or the spreadsheet of LibreOffice, you will be able to perform additional calculations.
Report file: | 07estimationMonteCarlo_halton_500.html |
Database name: | swissmetro |
Number of estimated parameters: | 5 |
Sample size: | 6768 |
Excluded observations: | 3960 |
Init log likelihood: | -6879.658 |
Final log likelihood: | -5215.076 |
Likelihood ratio test for the init. model: | 3329.165 |
Rho-square for the init. model: | 0.242 |
Rho-square-bar for the init. model: | 0.241 |
Akaike Information Criterion: | 10440.15 |
Bayesian Information Criterion: | 10474.25 |
Final gradient norm: | 3.3041E-02 |
Number of draws: | 500 |
Draws generation time: | 0:00:17.905191 |
Types of draws: | ['B_TIME_RND: NORMAL_HALTON2'] |
Nbr of threads: | 36 |
Algorithm: | Newton with trust region for simple bound constraints |
Relative projected gradient: | 6.001487e-06 |
Number of iterations: | 6 |
Number of function evaluations: | 19 |
Number of gradient evaluations: | 7 |
Number of hessian evaluations: | 7 |
Cause of termination: | Relative gradient = 6e-06 <= 6.1e-06 |
Optimization time: | 0:00:16.467443 |
Name | Value | Std err | t-test | p-value | Rob. Std err | Rob. t-test | Rob. p-value |
---|---|---|---|---|---|---|---|
ASC_CAR | 0.137 | 0.0516 | 2.65 | 0.00816 | 0.0517 | 2.64 | 0.00829 |
ASC_TRAIN | -0.402 | 0.0634 | -6.34 | 2.35e-10 | 0.0658 | -6.11 | 1.01e-09 |
B_COST | -1.28 | 0.063 | -20.4 | 0 | 0.0863 | -14.9 | 0 |
B_TIME | -2.26 | 0.119 | -19 | 0 | 0.117 | -19.3 | 0 |
B_TIME_S | 1.65 | 0.138 | 12 | 0 | 0.131 | 12.6 | 0 |
Coefficient1 | Coefficient2 | Covariance | Correlation | t-test | p-value | Rob. cov. | Rob. corr. | Rob. t-test | Rob. p-value |
---|---|---|---|---|---|---|---|---|---|
ASC_TRAIN | ASC_CAR | 0.00204 | 0.624 | -10.6 | 0 | 0.00223 | 0.656 | -10.7 | 0 |
B_COST | ASC_CAR | 0.000184 | 0.0567 | -18 | 0 | 0.000133 | 0.0298 | -14.3 | 0 |
B_COST | ASC_TRAIN | -0.000139 | -0.0348 | -9.71 | 0 | -0.000306 | -0.0539 | -7.93 | 2.22e-15 |
B_TIME | ASC_CAR | -0.00394 | -0.642 | -15.2 | 0 | -0.00386 | -0.638 | -15.4 | 0 |
B_TIME | ASC_TRAIN | -0.00456 | -0.605 | -11.2 | 0 | -0.00471 | -0.612 | -11.2 | 0 |
B_TIME | B_COST | 0.00237 | 0.316 | -8.42 | 0 | 0.00371 | 0.368 | -8.31 | 0 |
B_TIME_S | ASC_CAR | 0.00298 | 0.418 | 12.1 | 0 | 0.00283 | 0.418 | 12.7 | 0 |
B_TIME_S | ASC_TRAIN | 0.00183 | 0.209 | 14.8 | 0 | 0.00149 | 0.173 | 15.1 | 0 |
B_TIME_S | B_COST | -0.00256 | -0.295 | 17.5 | 0 | -0.00318 | -0.281 | 16.7 | 0 |
B_TIME_S | B_TIME | -0.0127 | -0.774 | 16.2 | 0 | -0.0114 | -0.742 | 16.9 | 0 |
Smallest eigenvalue: 31.6804
Largest eigenvalue: 1001.72
Condition number: 31.6195