biogeme 3.2.8 [2021-07-26]
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 2021-07-26 18:43:20.506332
| Report file: | 14nestedEndogenousSampling.html |
| Database name: | swissmetro |
| Number of estimated parameters: | 5 |
| Sample size: | 6768 |
| Excluded observations: | 3960 |
| Init log likelihood: | -14995.62 |
| Final log likelihood: | -5202.916 |
| Likelihood ratio test for the init. model: | 19585.42 |
| Rho-square for the init. model: | 0.653 |
| Rho-square-bar for the init. model: | 0.653 |
| Akaike Information Criterion: | 10415.83 |
| Bayesian Information Criterion: | 10449.93 |
| Final gradient norm: | 3.5640E-02 |
| Nbr of threads: | 36 |
| Algorithm: | Newton with trust region for simple bound constraints |
| Proportion analytical hessian: | 100.0% |
| Relative projected gradient: | 3.214903e-06 |
| Relative change: | 0.00020670426416624643 |
| Number of iterations: | 9 |
| Number of function evaluations: | 26 |
| Number of gradient evaluations: | 9 |
| Number of hessian evaluations: | 9 |
| Cause of termination: | Relative gradient = 3.2e-06 <= 6.1e-06 |
| Optimization time: | 0:00:00.204031 |
| Name | Value | Std err | t-test | p-value | Rob. Std err | Rob. t-test | Rob. p-value |
|---|---|---|---|---|---|---|---|
| ASC_CAR | -1.13 | 0.0423 | -26.7 | 0 | 0.0606 | -18.6 | 0 |
| ASC_TRAIN | -2.77 | 0.0539 | -51.4 | 0 | 0.0805 | -34.4 | 0 |
| B_COST | -0.999 | 0.0472 | -21.2 | 0 | 0.0641 | -15.6 | 0 |
| B_TIME | -0.975 | 0.055 | -17.7 | 0 | 0.111 | -8.8 | 0 |
| MU | 1.63 | 0.0541 | 30.2 | 0 | 0.0627 | 26 | 0 |
| Coefficient1 | Coefficient2 | Covariance | Correlation | t-test | p-value | Rob. cov. | Rob. corr. | Rob. t-test | Rob. p-value |
|---|---|---|---|---|---|---|---|---|---|
| ASC_TRAIN | ASC_CAR | 0.000926 | 0.406 | -30.8 | 0 | 0.00326 | 0.667 | -27.2 | 0 |
| B_COST | ASC_CAR | 0.000292 | 0.146 | 2.19 | 0.0289 | -0.000206 | -0.0529 | 1.41 | 0.157 |
| B_COST | ASC_TRAIN | 0.000446 | 0.175 | 27.2 | 0 | -0.000502 | -0.0971 | 16.4 | 0 |
| B_TIME | ASC_CAR | -0.00146 | -0.626 | 1.74 | 0.0823 | -0.00559 | -0.832 | 0.927 | 0.354 |
| B_TIME | ASC_TRAIN | -0.00109 | -0.369 | 19.9 | 0 | -0.00645 | -0.723 | 10.1 | 0 |
| B_TIME | B_COST | 0.00058 | 0.223 | 0.386 | 0.699 | 0.00245 | 0.345 | 0.231 | 0.818 |
| MU | ASC_CAR | -0.00078 | -0.341 | 34.8 | 0 | -0.00138 | -0.362 | 27.1 | 0 |
| MU | ASC_TRAIN | 0.00146 | 0.502 | 81.7 | 0 | 0.00153 | 0.303 | 51.3 | 0 |
| MU | B_COST | 0.00041 | 0.161 | 40 | 0 | 0.000308 | 0.0767 | 30.5 | 0 |
| MU | B_TIME | 0.00117 | 0.392 | 43.3 | 0 | 0.00212 | 0.305 | 23.8 | 0 |
Smallest eigenvalue: 195.396
Largest eigenvalue: 3071.05
Condition number: 15.7171