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 18:22:33.359483
| Report file: | 05normalMixtureIntegral.html |
| Database name: | swissmetro |
| Number of estimated parameters: | 5 |
| Sample size: | 6768 |
| Excluded observations: | 3960 |
| Init log likelihood: | -6879.406 |
| Final log likelihood: | -5214.879 |
| Likelihood ratio test for the init. model: | 3329.055 |
| Rho-square for the init. model: | 0.242 |
| Rho-square-bar for the init. model: | 0.241 |
| Akaike Information Criterion: | 10439.76 |
| Bayesian Information Criterion: | 10473.86 |
| Final gradient norm: | 2.4050E-02 |
| Nbr of threads: | 36 |
| Algorithm: | Newton with trust region for simple bound constraints |
| Proportion analytical hessian: | 100.0% |
| Relative projected gradient: | 4.898527e-06 |
| Relative change: | 4.500770393212061e-05 |
| Number of iterations: | 6 |
| Number of function evaluations: | 19 |
| Number of gradient evaluations: | 7 |
| Number of hessian evaluations: | 7 |
| Cause of termination: | Relative gradient = 4.9e-06 <= 6.1e-06 |
| Optimization time: | 0:00:05.041863 |
| 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 | 0.00797 | 0.0517 | 2.65 | 0.00808 |
| ASC_TRAIN | -0.401 | 0.0634 | -6.33 | 2.4e-10 | 0.0656 | -6.12 | 9.48e-10 |
| B_COST | -1.29 | 0.063 | -20.4 | 0 | 0.0862 | -14.9 | 0 |
| B_TIME | -2.26 | 0.119 | -19.1 | 0 | 0.117 | -19.4 | 0 |
| B_TIME_S | 1.65 | 0.135 | 12.3 | 0 | 0.125 | 13.3 | 0 |
| Coefficient1 | Coefficient2 | Covariance | Correlation | t-test | p-value | Rob. cov. | Rob. corr. | Rob. t-test | Rob. p-value |
|---|---|---|---|---|---|---|---|---|---|
| ASC_TRAIN | ASC_CAR | 0.00205 | 0.626 | -10.6 | 0 | 0.00224 | 0.661 | -10.8 | 0 |
| B_COST | ASC_CAR | 0.000188 | 0.0577 | -18 | 0 | 0.000134 | 0.03 | -14.3 | 0 |
| B_COST | ASC_TRAIN | -0.000148 | -0.0371 | -9.71 | 0 | -0.000328 | -0.0579 | -7.94 | 2e-15 |
| B_TIME | ASC_CAR | -0.00393 | -0.642 | -15.3 | 0 | -0.00384 | -0.638 | -15.5 | 0 |
| B_TIME | ASC_TRAIN | -0.0046 | -0.612 | -11.2 | 0 | -0.00478 | -0.625 | -11.2 | 0 |
| B_TIME | B_COST | 0.00235 | 0.314 | -8.43 | 0 | 0.00369 | 0.367 | -8.34 | 0 |
| B_TIME_S | ASC_CAR | 0.00293 | 0.422 | 12.4 | 0 | 0.00276 | 0.429 | 13.5 | 0 |
| B_TIME_S | ASC_TRAIN | 0.00193 | 0.226 | 15.2 | 0 | 0.00171 | 0.209 | 16 | 0 |
| B_TIME_S | B_COST | -0.00249 | -0.293 | 17.9 | 0 | -0.00306 | -0.285 | 17.2 | 0 |
| B_TIME_S | B_TIME | -0.0124 | -0.777 | 16.4 | 0 | -0.0109 | -0.751 | 17.3 | 0 |
Smallest eigenvalue: 32.4747
Largest eigenvalue: 1001.53
Condition number: 30.8402