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 14:53:46.521793
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: | 13panel.html |
Database name: | swissmetro |
Number of estimated parameters: | 8 |
Sample size: | 752 |
Observations: | 6768 |
Excluded observations: | 3960 |
Init log likelihood: | -3624.138 |
Final log likelihood: | -3574.876 |
Likelihood ratio test for the init. model: | 98.52461 |
Rho-square for the init. model: | 0.0136 |
Rho-square-bar for the init. model: | 0.0114 |
Akaike Information Criterion: | 7165.751 |
Bayesian Information Criterion: | 7202.733 |
Final gradient norm: | 3.8518E-03 |
Number of draws: | 100000 |
Draws generation time: | 0:02:41.146245 |
Types of draws: | ['ASC_CAR_RND: NORMAL_ANTI', 'ASC_SM_RND: NORMAL_ANTI', 'ASC_TRAIN_RND: NORMAL_ANTI', 'B_TIME_RND: NORMAL_ANTI'] |
Nbr of threads: | 36 |
Algorithm: | BFGS with trust region for simple bound constraints |
Proportion analytical hessian: | 0.0% |
Relative projected gradient: | 2.96998e-06 |
Number of iterations: | 45 |
Number of function evaluations: | 136 |
Number of gradient evaluations: | 46 |
Number of hessian evaluations: | 0 |
Cause of termination: | Relative gradient = 3e-06 <= 6.1e-06 |
Optimization time: | 4:05:25.684452 |
Name | Value | Std err | t-test | p-value | Rob. Std err | Rob. t-test | Rob. p-value |
---|---|---|---|---|---|---|---|
ASC_CAR | 0.429 | 0.214 | 2.01 | 0.0449 | 0.24 | 1.79 | 0.0735 |
ASC_CAR_S | 3.94 | 0.26 | 15.2 | 0 | 0.345 | 11.4 | 0 |
ASC_SM_S | 1.2 | 0.354 | 3.38 | 0.000727 | 0.346 | 3.46 | 0.000543 |
ASC_TRAIN | -0.38 | 0.222 | -1.71 | 0.0871 | 0.231 | -1.65 | 0.0991 |
ASC_TRAIN_S | 2.39 | 0.293 | 8.15 | 4.44e-16 | 0.305 | 7.85 | 4.22e-15 |
B_COST | -3.68 | 0.2 | -18.4 | 0 | 0.309 | -11.9 | 0 |
B_TIME | -6.08 | 0.305 | -20 | 0 | 0.352 | -17.3 | 0 |
B_TIME_S | 3.7 | 0.225 | 16.4 | 0 | 0.228 | 16.2 | 0 |
Coefficient1 | Coefficient2 | Covariance | Correlation | t-test | p-value | Rob. cov. | Rob. corr. | Rob. t-test | Rob. p-value |
---|---|---|---|---|---|---|---|---|---|
ASC_CAR_S | ASC_CAR | -0.00686 | -0.123 | 9.84 | 0 | -0.0263 | -0.317 | 7.33 | 2.25e-13 |
ASC_SM_S | ASC_CAR | 0.013 | 0.171 | 2.01 | 0.044 | 0.0227 | 0.273 | 2.11 | 0.0346 |
ASC_SM_S | ASC_CAR_S | -0.0194 | -0.211 | -5.69 | 1.25e-08 | -0.0499 | -0.418 | -4.71 | 2.46e-06 |
ASC_TRAIN | ASC_CAR | 0.0134 | 0.283 | -3.1 | 0.00196 | 0.0191 | 0.344 | -3 | 0.00266 |
ASC_TRAIN | ASC_CAR_S | 0.00671 | 0.116 | -13.4 | 0 | 0.0146 | 0.184 | -11.4 | 0 |
ASC_TRAIN | ASC_SM_S | 0.0121 | 0.154 | -4.06 | 4.83e-05 | 0.00542 | 0.0679 | -3.92 | 8.94e-05 |
ASC_TRAIN_S | ASC_CAR | -0.00685 | -0.109 | 5.14 | 2.71e-07 | -0.0161 | -0.221 | 4.59 | 4.39e-06 |
ASC_TRAIN_S | ASC_CAR_S | 0.00467 | 0.0613 | -4.07 | 4.66e-05 | 0.0159 | 0.151 | -3.65 | 0.000267 |
ASC_TRAIN_S | ASC_SM_S | -0.0489 | -0.47 | 2.15 | 0.0317 | -0.0445 | -0.422 | 2.18 | 0.0296 |
ASC_TRAIN_S | ASC_TRAIN | -0.0356 | -0.546 | 6.1 | 1.08e-09 | -0.0388 | -0.552 | 5.86 | 4.52e-09 |
B_COST | ASC_CAR | 0.00624 | 0.146 | -15.2 | 0 | -0.00372 | -0.0502 | -10.3 | 0 |
B_COST | ASC_CAR_S | -0.0303 | -0.583 | -18.6 | 0 | 0.0101 | 0.0948 | -17.3 | 0 |
B_COST | ASC_SM_S | -0.0119 | -0.167 | -11.2 | 0 | -0.0578 | -0.541 | -8.48 | 0 |
B_COST | ASC_TRAIN | -0.00374 | -0.0842 | -10.6 | 0 | -0.00828 | -0.116 | -8.13 | 4.44e-16 |
B_COST | ASC_TRAIN_S | 0.00196 | 0.0335 | -17.4 | 0 | 0.0296 | 0.315 | -16.9 | 0 |
B_TIME | ASC_CAR | -0.0148 | -0.227 | -15.9 | 0 | -0.0301 | -0.356 | -13.2 | 0 |
B_TIME | ASC_CAR_S | -0.0381 | -0.481 | -20.6 | 0 | -0.0424 | -0.35 | -17.5 | 0 |
B_TIME | ASC_SM_S | -0.00286 | -0.0264 | -15.4 | 0 | -0.0157 | -0.129 | -13.9 | 0 |
B_TIME | ASC_TRAIN | -0.0268 | -0.396 | -12.9 | 0 | -0.0397 | -0.489 | -11.3 | 0 |
B_TIME | ASC_TRAIN_S | 0.00213 | 0.0238 | -20.3 | 0 | 0.0193 | 0.18 | -20.1 | 0 |
B_TIME | B_COST | 0.028 | 0.46 | -8.66 | 0 | 0.0469 | 0.432 | -6.78 | 1.17e-11 |
B_TIME_S | ASC_CAR | 0.00768 | 0.159 | 11.5 | 0 | 0.0185 | 0.337 | 12.1 | 0 |
B_TIME_S | ASC_CAR_S | 0.025 | 0.426 | -0.911 | 0.362 | 0.0263 | 0.333 | -0.691 | 0.489 |
B_TIME_S | ASC_SM_S | 0.00342 | 0.0428 | 6.08 | 1.21e-09 | 0.014 | 0.177 | 6.6 | 4.2e-11 |
B_TIME_S | ASC_TRAIN | 0.0138 | 0.276 | 15.2 | 0 | 0.0242 | 0.46 | 17.1 | 0 |
B_TIME_S | ASC_TRAIN_S | -0.00616 | -0.093 | 3.39 | 0.000706 | -0.0139 | -0.199 | 3.15 | 0.00164 |
B_TIME_S | B_COST | -0.0185 | -0.41 | 20.7 | 0 | -0.0297 | -0.422 | 16.2 | 0 |
B_TIME_S | B_TIME | -0.0517 | -0.753 | 19.7 | 0 | -0.0748 | -0.93 | 17.1 | 0 |
Smallest eigenvalue: 5.47833
Largest eigenvalue: 78.528
Condition number: 14.3343