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 16:04:21.370263
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: | 26triangularPanelMixture.html |
Database name: | swissmetro |
Number of estimated parameters: | 8 |
Sample size: | 752 |
Observations: | 6768 |
Excluded observations: | 3960 |
Init log likelihood: | -5828.526 |
Final log likelihood: | -3594.384 |
Likelihood ratio test for the init. model: | 4468.285 |
Rho-square for the init. model: | 0.383 |
Rho-square-bar for the init. model: | 0.382 |
Akaike Information Criterion: | 7204.768 |
Bayesian Information Criterion: | 7241.75 |
Final gradient norm: | 8.8979E-03 |
Number of draws: | 100000 |
Draws generation time: | 0:01:55.291815 |
Types of draws: | ['ASC_CAR_RND: TRIANGULAR', 'ASC_SM_RND: TRIANGULAR', 'ASC_TRAIN_RND: TRIANGULAR', 'B_TIME_RND: TRIANGULAR'] |
Nbr of threads: | 36 |
Algorithm: | BFGS with trust region for simple bound constraints |
Proportion analytical hessian: | 0.0% |
Relative projected gradient: | 3.372307e-06 |
Number of iterations: | 56 |
Number of function evaluations: | 169 |
Number of gradient evaluations: | 57 |
Number of hessian evaluations: | 0 |
Cause of termination: | Relative gradient = 3.4e-06 <= 6.1e-06 |
Optimization time: | 5:16:27.162747 |
Name | Value | Std err | t-test | p-value | Rob. Std err | Rob. t-test | Rob. p-value |
---|---|---|---|---|---|---|---|
ASC_CAR | 0.39 | 0.22 | 1.77 | 0.0765 | 0.255 | 1.53 | 0.126 |
ASC_CAR_S | 9.41 | 0.659 | 14.3 | 0 | 0.9 | 10.5 | 0 |
ASC_SM_S | 3.55 | 0.707 | 5.03 | 4.99e-07 | 0.824 | 4.31 | 1.63e-05 |
ASC_TRAIN | -0.347 | 0.23 | -1.51 | 0.131 | 0.244 | -1.42 | 0.154 |
ASC_TRAIN_S | 5.58 | 0.688 | 8.12 | 4.44e-16 | 0.802 | 6.96 | 3.33e-12 |
B_COST | -3.27 | 0.19 | -17.3 | 0 | 0.456 | -7.17 | 7.48e-13 |
B_TIME | -6.09 | 0.309 | -19.7 | 0 | 0.361 | -16.9 | 0 |
B_TIME_S | 8.92 | 0.516 | 17.3 | 0 | 0.554 | 16.1 | 0 |
Coefficient1 | Coefficient2 | Covariance | Correlation | t-test | p-value | Rob. cov. | Rob. corr. | Rob. t-test | Rob. p-value |
---|---|---|---|---|---|---|---|---|---|
ASC_CAR_S | ASC_CAR | -0.0253 | -0.174 | 12.4 | 0 | -0.0887 | -0.387 | 8.8 | 0 |
ASC_SM_S | ASC_CAR | 0.0272 | 0.175 | 4.5 | 6.73e-06 | 0.0653 | 0.311 | 4.04 | 5.4e-05 |
ASC_SM_S | ASC_CAR_S | -0.0832 | -0.178 | -5.58 | 2.34e-08 | -0.269 | -0.362 | -4.12 | 3.86e-05 |
ASC_TRAIN | ASC_CAR | 0.0139 | 0.275 | -2.72 | 0.00653 | 0.0183 | 0.295 | -2.49 | 0.0128 |
ASC_TRAIN | ASC_CAR_S | 0.0218 | 0.144 | -14.6 | 0 | 0.0512 | 0.234 | -11.1 | 0 |
ASC_TRAIN | ASC_SM_S | 0.0194 | 0.119 | -5.44 | 5.28e-08 | 0.0191 | 0.0952 | -4.66 | 3.16e-06 |
ASC_TRAIN_S | ASC_CAR | -0.0134 | -0.0884 | 7.02 | 2.28e-12 | -0.046 | -0.225 | 5.81 | 6.36e-09 |
ASC_TRAIN_S | ASC_CAR_S | 0.00152 | 0.00334 | -4.03 | 5.68e-05 | 0.0737 | 0.102 | -3.35 | 0.000804 |
ASC_TRAIN_S | ASC_SM_S | -0.184 | -0.379 | 1.75 | 0.0796 | -0.311 | -0.471 | 1.46 | 0.145 |
ASC_TRAIN_S | ASC_TRAIN | -0.091 | -0.576 | 7.05 | 1.78e-12 | -0.113 | -0.579 | 6.15 | 7.54e-10 |
B_COST | ASC_CAR | 0.00852 | 0.204 | -14.1 | 0 | -0.0226 | -0.194 | -6.49 | 8.56e-11 |
B_COST | ASC_CAR_S | -0.0689 | -0.551 | -16.3 | 0 | 0.119 | 0.291 | -14.4 | 0 |
B_COST | ASC_SM_S | -0.0236 | -0.176 | -8.94 | 0 | -0.252 | -0.67 | -5.79 | 7.22e-09 |
B_COST | ASC_TRAIN | -0.00279 | -0.0639 | -9.52 | 0 | -0.0138 | -0.125 | -5.38 | 7.31e-08 |
B_COST | ASC_TRAIN_S | 0.00319 | 0.0244 | -12.5 | 0 | 0.179 | 0.489 | -12.6 | 0 |
B_TIME | ASC_CAR | -0.0143 | -0.211 | -15.6 | 0 | -0.0305 | -0.332 | -12.8 | 0 |
B_TIME | ASC_CAR_S | -0.0969 | -0.476 | -18.2 | 0 | -0.115 | -0.353 | -14.3 | 0 |
B_TIME | ASC_SM_S | -0.0166 | -0.0758 | -12.2 | 0 | -0.0678 | -0.228 | -9.91 | 0 |
B_TIME | ASC_TRAIN | -0.0279 | -0.394 | -12.7 | 0 | -0.0442 | -0.503 | -10.9 | 0 |
B_TIME | ASC_TRAIN_S | 0.0102 | 0.048 | -15.8 | 0 | 0.0704 | 0.243 | -14.7 | 0 |
B_TIME | B_COST | 0.0247 | 0.421 | -9.82 | 0 | 0.0586 | 0.356 | -5.98 | 2.27e-09 |
B_TIME_S | ASC_CAR | 0.0142 | 0.125 | 15.9 | 0 | 0.0408 | 0.289 | 15.8 | 0 |
B_TIME_S | ASC_CAR_S | 0.157 | 0.461 | -0.802 | 0.423 | 0.188 | 0.378 | -0.58 | 0.562 |
B_TIME_S | ASC_SM_S | 0.00921 | 0.0252 | 6.2 | 5.61e-10 | 0.0937 | 0.205 | 6 | 2e-09 |
B_TIME_S | ASC_TRAIN | 0.0348 | 0.293 | 18.6 | 0 | 0.0662 | 0.49 | 19.2 | 0 |
B_TIME_S | ASC_TRAIN_S | -0.0221 | -0.0623 | 3.76 | 0.000168 | -0.107 | -0.24 | 3.09 | 0.00202 |
B_TIME_S | B_COST | -0.0383 | -0.392 | 19.8 | 0 | -0.0862 | -0.341 | 14.7 | 0 |
B_TIME_S | B_TIME | -0.132 | -0.832 | 19 | 0 | -0.193 | -0.966 | 16.5 | 0 |
Smallest eigenvalue: 1.43561
Largest eigenvalue: 64.9108
Condition number: 45.2148