biogeme 3.2.6 [2020-06-02]
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 2020-06-02 10:38:33.271054
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: | 17lognormalMixtureIntegral.html |
Database name: | swissmetro |
Number of estimated parameters: | 5 |
Sample size: | 6768 |
Excluded observations: | 3960 |
Init log likelihood: | -5702.072 |
Final log likelihood: | -5231.419 |
Likelihood ratio test for the init. model: | 941.3045 |
Rho-square for the init. model: | 0.0825 |
Rho-square-bar for the init. model: | 0.0817 |
Akaike Information Criterion: | 10472.84 |
Bayesian Information Criterion: | 10506.94 |
Final gradient norm: | 2.9629E-02 |
Nbr of threads: | 36 |
Algorithm: | BFGS with trust region for simple bound constraints |
Proportion analytical hessian: | 0.0% |
Relative projected gradient: | 4.078972e-06 |
Number of iterations: | 27 |
Number of function evaluations: | 82 |
Number of gradient evaluations: | 28 |
Number of hessian evaluations: | 0 |
Cause of termination: | Relative gradient = 4.1e-06 <= 6.1e-06 |
Optimization time: | 0:00:11.169872 |
Name | Value | Std err | t-test | p-value | Rob. Std err | Rob. t-test | Rob. p-value |
---|---|---|---|---|---|---|---|
ASC_CAR | 0.175 | 0.0582 | 3 | 0.00267 | 0.0627 | 2.79 | 0.00531 |
ASC_TRAIN | -0.346 | 0.0676 | -5.11 | 3.15e-07 | 0.0733 | -4.72 | 2.36e-06 |
B_COST | -1.38 | 0.0746 | -18.5 | 0 | 0.0978 | -14.1 | 0 |
B_TIME | 0.576 | 0.0653 | 8.82 | 0 | 0.0712 | 8.08 | 6.66e-16 |
B_TIME_S | 1.24 | 0.103 | 12 | 0 | 0.133 | 9.35 | 0 |
Coefficient1 | Coefficient2 | Covariance | Correlation | t-test | p-value | Rob. cov. | Rob. corr. | Rob. t-test | Rob. p-value |
---|---|---|---|---|---|---|---|---|---|
ASC_TRAIN | ASC_CAR | 0.00276 | 0.703 | -10.6 | 0 | 0.00345 | 0.752 | -10.6 | 0 |
B_COST | ASC_CAR | -0.000371 | -0.0856 | -15.8 | 0 | -0.00106 | -0.174 | -12.4 | 0 |
B_COST | ASC_TRAIN | -0.00069 | -0.137 | -9.64 | 0 | -0.0013 | -0.181 | -7.81 | 5.55e-15 |
B_TIME | ASC_CAR | 0.00261 | 0.687 | 8.15 | 4.44e-16 | 0.00312 | 0.699 | 7.64 | 2.22e-14 |
B_TIME | ASC_TRAIN | 0.00341 | 0.773 | 20.5 | 0 | 0.00418 | 0.801 | 20.2 | 0 |
B_TIME | B_COST | -0.00156 | -0.321 | 17.2 | 0 | -0.00281 | -0.403 | 13.7 | 0 |
B_TIME_S | ASC_CAR | 0.00152 | 0.253 | 10.2 | 0 | 0.00236 | 0.284 | 8.22 | 2.22e-16 |
B_TIME_S | ASC_TRAIN | 0.000437 | 0.0629 | 13.3 | 0 | 0.000179 | 0.0185 | 10.5 | 0 |
B_TIME_S | B_COST | -0.00269 | -0.351 | 17.9 | 0 | -0.00458 | -0.353 | 13.7 | 0 |
B_TIME_S | B_TIME | 0.000593 | 0.0883 | 5.68 | 1.36e-08 | 0.000355 | 0.0376 | 4.48 | 7.45e-06 |
Smallest eigenvalue: 76.7846
Largest eigenvalue: 1180.76
Condition number: 15.3776