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 15:44:00.441702
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: | 12panel.html |
Database name: | swissmetro |
Number of estimated parameters: | 8 |
Sample size: | 752 |
Observations: | 6768 |
Excluded observations: | 3960 |
Init log likelihood: | -4796.743 |
Final log likelihood: | -3572.965 |
Likelihood ratio test for the init. model: | 2447.558 |
Rho-square for the init. model: | 0.255 |
Rho-square-bar for the init. model: | 0.253 |
Akaike Information Criterion: | 7161.929 |
Bayesian Information Criterion: | 7198.911 |
Final gradient norm: | 4.6562E-03 |
Number of draws: | 100000 |
Draws generation time: | 0:02:39.944341 |
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: | 3.051935e-06 |
Number of iterations: | 50 |
Number of function evaluations: | 151 |
Number of gradient evaluations: | 51 |
Number of hessian evaluations: | 0 |
Cause of termination: | Relative gradient = 3.1e-06 <= 6.1e-06 |
Optimization time: | 4:55:35.529744 |
Name | Value | Std err | t-test | p-value | Rob. Std err | Rob. t-test | Rob. p-value |
---|---|---|---|---|---|---|---|
ASC_CAR | 0.476 | 0.223 | 2.14 | 0.0326 | 0.244 | 1.95 | 0.0516 |
ASC_CAR_S | 4.01 | 0.252 | 15.9 | 0 | 0.345 | 11.6 | 0 |
ASC_SM_S | 1.32 | 0.407 | 3.25 | 0.00116 | 0.4 | 3.31 | 0.000935 |
ASC_TRAIN | -0.307 | 0.225 | -1.36 | 0.174 | 0.246 | -1.25 | 0.212 |
ASC_TRAIN_S | 2.15 | 0.373 | 5.75 | 8.97e-09 | 0.396 | 5.42 | 5.97e-08 |
B_COST | -3.74 | 0.21 | -17.8 | 0 | 0.32 | -11.7 | 0 |
B_TIME | -6.16 | 0.312 | -19.7 | 0 | 0.363 | -17 | 0 |
B_TIME_S | 3.87 | 0.216 | 17.9 | 0 | 0.231 | 16.8 | 0 |
Coefficient1 | Coefficient2 | Covariance | Correlation | t-test | p-value | Rob. cov. | Rob. corr. | Rob. t-test | Rob. p-value |
---|---|---|---|---|---|---|---|---|---|
ASC_CAR_S | ASC_CAR | -0.00525 | -0.0938 | 10.1 | 0 | -0.02 | -0.237 | 7.57 | 3.84e-14 |
ASC_SM_S | ASC_CAR | 0.0216 | 0.238 | 2.04 | 0.0411 | 0.0275 | 0.281 | 2.09 | 0.0366 |
ASC_SM_S | ASC_CAR_S | -0.0129 | -0.126 | -5.33 | 9.94e-08 | -0.0182 | -0.132 | -4.79 | 1.65e-06 |
ASC_TRAIN | ASC_CAR | 0.0177 | 0.353 | -3.07 | 0.00214 | 0.0242 | 0.402 | -2.92 | 0.0035 |
ASC_TRAIN | ASC_CAR_S | 0.00265 | 0.0467 | -13.1 | 0 | 0.0173 | 0.204 | -11.4 | 0 |
ASC_TRAIN | ASC_SM_S | 0.0325 | 0.354 | -4.18 | 2.85e-05 | 0.037 | 0.376 | -4.26 | 2.03e-05 |
ASC_TRAIN_S | ASC_CAR | -0.0174 | -0.209 | 3.53 | 0.000414 | -0.0257 | -0.266 | 3.23 | 0.00126 |
ASC_TRAIN_S | ASC_CAR_S | 0.00903 | 0.0961 | -4.35 | 1.34e-05 | 0.00235 | 0.0172 | -3.59 | 0.000328 |
ASC_TRAIN_S | ASC_SM_S | -0.106 | -0.7 | 1.14 | 0.254 | -0.109 | -0.69 | 1.12 | 0.261 |
ASC_TRAIN_S | ASC_TRAIN | -0.0509 | -0.606 | 4.54 | 5.68e-06 | -0.0628 | -0.646 | 4.19 | 2.81e-05 |
B_COST | ASC_CAR | 0.0041 | 0.0878 | -14.4 | 0 | -0.00175 | -0.0224 | -10.4 | 0 |
B_COST | ASC_CAR_S | -0.0309 | -0.584 | -18.8 | 0 | 0.0107 | 0.0967 | -17.3 | 0 |
B_COST | ASC_SM_S | -0.0212 | -0.248 | -10.1 | 0 | -0.0562 | -0.439 | -8.27 | 2.22e-16 |
B_COST | ASC_TRAIN | -0.00658 | -0.139 | -10.4 | 0 | -0.00886 | -0.113 | -8.08 | 6.66e-16 |
B_COST | ASC_TRAIN_S | 0.0129 | 0.165 | -14.8 | 0 | 0.0347 | 0.274 | -13.5 | 0 |
B_TIME | ASC_CAR | -0.0185 | -0.267 | -15.5 | 0 | -0.0336 | -0.379 | -13 | 0 |
B_TIME | ASC_CAR_S | -0.0362 | -0.461 | -21.1 | 0 | -0.0511 | -0.408 | -17.1 | 0 |
B_TIME | ASC_SM_S | -0.0175 | -0.137 | -13.7 | 0 | -0.0356 | -0.245 | -12.4 | 0 |
B_TIME | ASC_TRAIN | -0.0292 | -0.415 | -12.9 | 0 | -0.0475 | -0.532 | -10.9 | 0 |
B_TIME | ASC_TRAIN_S | 0.0148 | 0.127 | -18.2 | 0 | 0.0385 | 0.268 | -18 | 0 |
B_TIME | B_COST | 0.0303 | 0.461 | -8.49 | 0 | 0.0408 | 0.351 | -6.18 | 6.23e-10 |
B_TIME_S | ASC_CAR | 0.00952 | 0.198 | 12.2 | 0 | 0.0188 | 0.332 | 12.4 | 0 |
B_TIME_S | ASC_CAR_S | 0.0244 | 0.45 | -0.578 | 0.564 | 0.0355 | 0.445 | -0.448 | 0.654 |
B_TIME_S | ASC_SM_S | 0.0126 | 0.143 | 5.89 | 3.93e-09 | 0.0233 | 0.253 | 6.24 | 4.29e-10 |
B_TIME_S | ASC_TRAIN | 0.0171 | 0.352 | 16.6 | 0 | 0.0301 | 0.53 | 18 | 0 |
B_TIME_S | ASC_TRAIN_S | -0.0127 | -0.157 | 3.76 | 0.000171 | -0.0247 | -0.27 | 3.39 | 0.000698 |
B_TIME_S | B_COST | -0.0204 | -0.449 | 21 | 0 | -0.0248 | -0.335 | 16.8 | 0 |
B_TIME_S | B_TIME | -0.0588 | -0.872 | 19.6 | 0 | -0.0826 | -0.983 | 16.9 | 0 |
Smallest eigenvalue: 3.40327
Largest eigenvalue: 134.641
Condition number: 39.5623