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 10:38:17.176558
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: | 08boxcox.html |
| Database name: | swissmetro |
| Number of estimated parameters: | 5 |
| Sample size: | 6768 |
| Excluded observations: | 3960 |
| Init log likelihood: | -6964.663 |
| Final log likelihood: | -5292.095 |
| Likelihood ratio test for the init. model: | 3345.135 |
| Rho-square for the init. model: | 0.24 |
| Rho-square-bar for the init. model: | 0.239 |
| Akaike Information Criterion: | 10594.19 |
| Bayesian Information Criterion: | 10628.29 |
| Final gradient norm: | 3.5155E-02 |
| Nbr of threads: | 36 |
| Algorithm: | BFGS with trust region for simple bound constraints |
| Proportion analytical hessian: | 0.0% |
| Relative projected gradient: | 3.515887e-06 |
| Number of iterations: | 25 |
| Number of function evaluations: | 76 |
| Number of gradient evaluations: | 26 |
| Number of hessian evaluations: | 0 |
| Cause of termination: | Relative gradient = 3.5e-06 <= 6.1e-06 |
| Optimization time: | 0:00:00.187872 |
| Name | Value | Std err | t-test | p-value | Rob. Std err | Rob. t-test | Rob. p-value |
|---|---|---|---|---|---|---|---|
| ASC_CAR | -0.0047 | 0.0471 | -0.0999 | 0.92 | 0.048 | -0.098 | 0.922 |
| ASC_TRAIN | -0.485 | 0.0614 | -7.91 | 2.66e-15 | 0.0644 | -7.53 | 4.95e-14 |
| B_COST | -1.08 | 0.052 | -20.7 | 0 | 0.068 | -15.9 | 0 |
| B_TIME | -1.67 | 0.0744 | -22.5 | 0 | 0.0766 | -21.9 | 0 |
| LAMBDA | 0.51 | 0.0519 | 9.83 | 0 | 0.0773 | 6.6 | 4.16e-11 |
| Coefficient1 | Coefficient2 | Covariance | Correlation | t-test | p-value | Rob. cov. | Rob. corr. | Rob. t-test | Rob. p-value |
|---|---|---|---|---|---|---|---|---|---|
| ASC_TRAIN | ASC_CAR | 0.00188 | 0.651 | -10.2 | 0 | 0.00218 | 0.705 | -10.5 | 0 |
| B_COST | ASC_CAR | 0.000481 | 0.197 | -17.1 | 0 | 0.000436 | 0.133 | -13.8 | 0 |
| B_COST | ASC_TRAIN | 2.89e-06 | 0.000905 | -7.38 | 1.56e-13 | -0.000245 | -0.056 | -6.17 | 6.99e-10 |
| B_TIME | ASC_CAR | -0.00231 | -0.661 | -15 | 0 | -0.00245 | -0.668 | -14.6 | 0 |
| B_TIME | ASC_TRAIN | -0.00357 | -0.782 | -9.28 | 0 | -0.00387 | -0.786 | -8.93 | 0 |
| B_TIME | B_COST | 0.000575 | 0.149 | -7.08 | 1.44e-12 | 0.00131 | 0.251 | -6.72 | 1.83e-11 |
| LAMBDA | ASC_CAR | -0.000543 | -0.222 | 6.65 | 2.94e-11 | 0.000427 | 0.115 | 5.97 | 2.32e-09 |
| LAMBDA | ASC_TRAIN | -0.000715 | -0.225 | 11.2 | 0 | 0.00116 | 0.233 | 11.3 | 0 |
| LAMBDA | B_COST | -0.000157 | -0.0582 | 21 | 0 | -0.000985 | -0.187 | 14.2 | 0 |
| LAMBDA | B_TIME | 0.00142 | 0.367 | 29.7 | 0 | -0.000703 | -0.119 | 19 | 0 |
Smallest eigenvalue: 100.762
Largest eigenvalue: 1385.39
Condition number: 13.7491