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 22:21:52.893281
Report file: | 12panel.html |
Database name: | swissmetro |
Number of estimated parameters: | 8 |
Sample size: | 752 |
Observations: | 6768 |
Excluded observations: | 3960 |
Init log likelihood: | -4796.857 |
Final log likelihood: | -3573.555 |
Likelihood ratio test for the init. model: | 2446.605 |
Rho-square for the init. model: | 0.255 |
Rho-square-bar for the init. model: | 0.253 |
Akaike Information Criterion: | 7163.11 |
Bayesian Information Criterion: | 7200.092 |
Final gradient norm: | 2.9574E-03 |
Number of draws: | 100000 |
Draws generation time: | 0:02:25.574120 |
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: | Newton with trust region for simple bound constraints |
Proportion analytical hessian: | 100.0% |
Relative projected gradient: | 1.107666e-06 |
Relative change: | 0.0035386694197304673 |
Number of iterations: | 16 |
Number of function evaluations: | 41 |
Number of gradient evaluations: | 13 |
Number of hessian evaluations: | 13 |
Cause of termination: | Relative gradient = 1.1e-06 <= 6.1e-06 |
Optimization time: | 3:26:38.486798 |
Name | Value | Std err | t-test | p-value | Rob. Std err | Rob. t-test | Rob. p-value |
---|---|---|---|---|---|---|---|
ASC_CAR | 0.407 | 0.214 | 1.9 | 0.0569 | 0.246 | 1.66 | 0.0973 |
ASC_CAR_S | 3.96 | 0.247 | 16 | 0 | 0.317 | 12.5 | 0 |
ASC_SM_S | 1.01 | 0.454 | 2.23 | 0.0258 | 0.524 | 1.93 | 0.0535 |
ASC_TRAIN | -0.422 | 0.226 | -1.86 | 0.0623 | 0.238 | -1.77 | 0.077 |
ASC_TRAIN_S | 2.43 | 0.309 | 7.86 | 3.77e-15 | 0.34 | 7.15 | 8.7e-13 |
B_COST | -3.79 | 0.207 | -18.3 | 0 | 0.288 | -13.2 | 0 |
B_TIME | -6.03 | 0.301 | -20 | 0 | 0.359 | -16.8 | 0 |
B_TIME_S | 3.73 | 0.224 | 16.7 | 0 | 0.234 | 15.9 | 0 |
Coefficient1 | Coefficient2 | Covariance | Correlation | t-test | p-value | Rob. cov. | Rob. corr. | Rob. t-test | Rob. p-value |
---|---|---|---|---|---|---|---|---|---|
ASC_CAR_S | ASC_CAR | -0.00602 | -0.114 | 10.3 | 0 | -0.0271 | -0.348 | 7.66 | 1.84e-14 |
ASC_SM_S | ASC_CAR | 0.0203 | 0.21 | 1.32 | 0.188 | 0.0485 | 0.377 | 1.24 | 0.215 |
ASC_SM_S | ASC_CAR_S | -0.0217 | -0.194 | -5.3 | 1.17e-07 | -0.0661 | -0.398 | -4.14 | 3.43e-05 |
ASC_TRAIN | ASC_CAR | 0.0142 | 0.293 | -3.17 | 0.00155 | 0.0231 | 0.394 | -3.11 | 0.00187 |
ASC_TRAIN | ASC_CAR_S | 0.00378 | 0.0677 | -13.6 | 0 | 0.00545 | 0.0721 | -11.4 | 0 |
ASC_TRAIN | ASC_SM_S | 0.0277 | 0.27 | -3.19 | 0.00141 | 0.0357 | 0.286 | -2.81 | 0.00492 |
ASC_TRAIN_S | ASC_CAR | -0.01 | -0.151 | 5.04 | 4.71e-07 | -0.0265 | -0.317 | 4.23 | 2.34e-05 |
ASC_TRAIN_S | ASC_CAR_S | 0.00884 | 0.116 | -4.11 | 4e-05 | 0.0268 | 0.249 | -3.8 | 0.000148 |
ASC_TRAIN_S | ASC_SM_S | -0.083 | -0.592 | 2.08 | 0.0378 | -0.114 | -0.64 | 1.81 | 0.0709 |
ASC_TRAIN_S | ASC_TRAIN | -0.0405 | -0.58 | 5.98 | 2.28e-09 | -0.0493 | -0.609 | 5.48 | 4.31e-08 |
B_COST | ASC_CAR | 0.00589 | 0.133 | -15.1 | 0 | -0.00217 | -0.0308 | -10.9 | 0 |
B_COST | ASC_CAR_S | -0.0313 | -0.614 | -19 | 0 | -0.00534 | -0.0586 | -17.6 | 0 |
B_COST | ASC_SM_S | -0.0108 | -0.115 | -9.23 | 0 | -0.0655 | -0.435 | -6.87 | 6.57e-12 |
B_COST | ASC_TRAIN | -0.00447 | -0.0956 | -10.5 | 0 | -0.0136 | -0.198 | -8.24 | 2.22e-16 |
B_COST | ASC_TRAIN_S | 0.0025 | 0.0391 | -17 | 0 | 0.0302 | 0.309 | -16.7 | 0 |
B_TIME | ASC_CAR | -0.0156 | -0.243 | -15.7 | 0 | -0.0374 | -0.424 | -12.5 | 0 |
B_TIME | ASC_CAR_S | -0.0342 | -0.46 | -21.3 | 0 | -0.0241 | -0.212 | -18.9 | 0 |
B_TIME | ASC_SM_S | -0.0112 | -0.0821 | -12.5 | 0 | -0.0614 | -0.327 | -9.7 | 0 |
B_TIME | ASC_TRAIN | -0.0272 | -0.4 | -12.7 | 0 | -0.0435 | -0.508 | -10.7 | 0 |
B_TIME | ASC_TRAIN_S | 0.00564 | 0.0606 | -20.2 | 0 | 0.036 | 0.295 | -20.4 | 0 |
B_TIME | B_COST | 0.0299 | 0.48 | -8.27 | 2.22e-16 | 0.0577 | 0.559 | -7.22 | 5.07e-13 |
B_TIME_S | ASC_CAR | 0.00716 | 0.15 | 11.6 | 0 | 0.022 | 0.382 | 12.4 | 0 |
B_TIME_S | ASC_CAR_S | 0.023 | 0.418 | -0.909 | 0.363 | 0.0148 | 0.2 | -0.653 | 0.514 |
B_TIME_S | ASC_SM_S | 0.00646 | 0.0637 | 5.52 | 3.45e-08 | 0.0421 | 0.344 | 5.49 | 3.91e-08 |
B_TIME_S | ASC_TRAIN | 0.0137 | 0.272 | 15.3 | 0 | 0.0267 | 0.479 | 17.2 | 0 |
B_TIME_S | ASC_TRAIN_S | -0.00709 | -0.103 | 3.25 | 0.00116 | -0.0244 | -0.307 | 2.77 | 0.00553 |
B_TIME_S | B_COST | -0.0202 | -0.438 | 20.6 | 0 | -0.0368 | -0.547 | 16.4 | 0 |
B_TIME_S | B_TIME | -0.0507 | -0.754 | 19.8 | 0 | -0.0787 | -0.936 | 16.7 | 0 |
Smallest eigenvalue: 3.72712
Largest eigenvalue: 80.7282
Condition number: 21.6596