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 23:34:57.659428
Report file: | 26triangularPanelMixture.html |
Database name: | swissmetro |
Number of estimated parameters: | 8 |
Sample size: | 752 |
Observations: | 6768 |
Excluded observations: | 3960 |
Init log likelihood: | -5828.723 |
Final log likelihood: | -3594.747 |
Likelihood ratio test for the init. model: | 4467.952 |
Rho-square for the init. model: | 0.383 |
Rho-square-bar for the init. model: | 0.382 |
Akaike Information Criterion: | 7205.495 |
Bayesian Information Criterion: | 7242.477 |
Final gradient norm: | 4.2544E-03 |
Number of draws: | 100000 |
Draws generation time: | 0:01:45.094008 |
Types of draws: | ['ASC_CAR_RND: TRIANGULAR', 'ASC_SM_RND: TRIANGULAR', 'ASC_TRAIN_RND: TRIANGULAR', 'B_TIME_RND: TRIANGULAR'] |
Nbr of threads: | 36 |
Algorithm: | Newton with trust region for simple bound constraints |
Proportion analytical hessian: | 100.0% |
Relative projected gradient: | 2.915686e-06 |
Relative change: | 0.009383335251084656 |
Number of iterations: | 19 |
Number of function evaluations: | 44 |
Number of gradient evaluations: | 13 |
Number of hessian evaluations: | 13 |
Cause of termination: | Relative gradient = 2.9e-06 <= 6.1e-06 |
Optimization time: | 3:37:55.184601 |
Name | Value | Std err | t-test | p-value | Rob. Std err | Rob. t-test | Rob. p-value |
---|---|---|---|---|---|---|---|
ASC_CAR | 0.348 | 0.222 | 1.56 | 0.118 | 0.276 | 1.26 | 0.207 |
ASC_CAR_S | 9.31 | 0.668 | 13.9 | 0 | 0.841 | 11.1 | 0 |
ASC_SM_S | -3.36 | 0.866 | -3.88 | 0.000104 | 1.2 | -2.79 | 0.00525 |
ASC_TRAIN | -0.454 | 0.238 | -1.9 | 0.0568 | 0.276 | -1.64 | 0.1 |
ASC_TRAIN_S | 5.97 | 0.74 | 8.07 | 6.66e-16 | 1.1 | 5.43 | 5.52e-08 |
B_COST | -3.34 | 0.195 | -17.1 | 0 | 0.424 | -7.87 | 3.77e-15 |
B_TIME | -5.95 | 0.305 | -19.5 | 0 | 0.399 | -14.9 | 0 |
B_TIME_S | 8.83 | 0.536 | 16.5 | 0 | 0.672 | 13.1 | 0 |
Coefficient1 | Coefficient2 | Covariance | Correlation | t-test | p-value | Rob. cov. | Rob. corr. | Rob. t-test | Rob. p-value |
---|---|---|---|---|---|---|---|---|---|
ASC_CAR_S | ASC_CAR | -0.0326 | -0.22 | 12 | 0 | -0.101 | -0.434 | 9.03 | 0 |
ASC_SM_S | ASC_CAR | -0.0511 | -0.265 | -3.91 | 9.39e-05 | -0.156 | -0.47 | -2.74 | 0.00622 |
ASC_SM_S | ASC_CAR_S | 0.167 | 0.288 | -13.6 | 0 | 0.318 | 0.314 | -10.3 | 0 |
ASC_TRAIN | ASC_CAR | 0.0155 | 0.293 | -2.92 | 0.00346 | 0.0323 | 0.425 | -2.71 | 0.00676 |
ASC_TRAIN | ASC_CAR_S | 0.0149 | 0.0934 | -14.2 | 0 | 0.0227 | 0.0978 | -11.4 | 0 |
ASC_TRAIN | ASC_SM_S | -0.0391 | -0.189 | 3.09 | 0.002 | -0.134 | -0.404 | 2.17 | 0.03 |
ASC_TRAIN_S | ASC_CAR | -0.0256 | -0.155 | 6.98 | 2.87e-12 | -0.125 | -0.414 | 4.54 | 5.65e-06 |
ASC_TRAIN_S | ASC_CAR_S | 0.0521 | 0.105 | -3.54 | 0.000393 | 0.17 | 0.184 | -2.66 | 0.00773 |
ASC_TRAIN_S | ASC_SM_S | 0.303 | 0.472 | 11.2 | 0 | 0.922 | 0.697 | 10.3 | 0 |
ASC_TRAIN_S | ASC_TRAIN | -0.106 | -0.602 | 7.11 | 1.16e-12 | -0.214 | -0.707 | 4.91 | 9.11e-07 |
B_COST | ASC_CAR | 0.0101 | 0.234 | -14.2 | 0 | -0.0227 | -0.194 | -6.71 | 1.94e-11 |
B_COST | ASC_CAR_S | -0.0741 | -0.57 | -15.9 | 0 | 0.0572 | 0.16 | -14.4 | 0 |
B_COST | ASC_SM_S | 0.00106 | 0.00631 | 0.0286 | 0.977 | 0.193 | 0.378 | 0.0227 | 0.982 |
B_COST | ASC_TRAIN | 0.000288 | 0.00621 | -9.39 | 0 | -0.0232 | -0.198 | -5.24 | 1.6e-07 |
B_COST | ASC_TRAIN_S | -0.0153 | -0.106 | -11.9 | 0 | 0.19 | 0.408 | -9.27 | 0 |
B_TIME | ASC_CAR | -0.0155 | -0.229 | -15.1 | 0 | -0.0515 | -0.467 | -10.8 | 0 |
B_TIME | ASC_CAR_S | -0.0863 | -0.424 | -18.1 | 0 | -0.0618 | -0.184 | -15.3 | 0 |
B_TIME | ASC_SM_S | 0.0373 | 0.141 | -2.96 | 0.00311 | 0.235 | 0.489 | -2.43 | 0.0151 |
B_TIME | ASC_TRAIN | -0.0289 | -0.397 | -12.1 | 0 | -0.0652 | -0.592 | -9.09 | 0 |
B_TIME | ASC_TRAIN_S | 0.0212 | 0.0938 | -15.4 | 0 | 0.215 | 0.491 | -12.3 | 0 |
B_TIME | B_COST | 0.0223 | 0.376 | -8.91 | 0 | 0.0805 | 0.475 | -6.2 | 5.75e-10 |
B_TIME_S | ASC_CAR | 0.0174 | 0.146 | 15.4 | 0 | 0.0845 | 0.456 | 14.2 | 0 |
B_TIME_S | ASC_CAR_S | 0.138 | 0.385 | -0.717 | 0.474 | 0.0783 | 0.138 | -0.484 | 0.628 |
B_TIME_S | ASC_SM_S | -0.0548 | -0.118 | 11.4 | 0 | -0.425 | -0.526 | 7.35 | 2.01e-13 |
B_TIME_S | ASC_TRAIN | 0.0397 | 0.311 | 18.1 | 0 | 0.112 | 0.602 | 16.8 | 0 |
B_TIME_S | ASC_TRAIN_S | -0.0545 | -0.137 | 2.94 | 0.00325 | -0.405 | -0.549 | 1.82 | 0.0689 |
B_TIME_S | B_COST | -0.0357 | -0.342 | 19.3 | 0 | -0.144 | -0.504 | 12.7 | 0 |
B_TIME_S | B_TIME | -0.13 | -0.797 | 18.5 | 0 | -0.255 | -0.949 | 14 | 0 |
Smallest eigenvalue: 0.969287
Largest eigenvalue: 56.5002
Condition number: 58.2905