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 10:38:24.408080
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: | 10nestedBottom.html |
Database name: | swissmetro |
Number of estimated parameters: | 5 |
Sample size: | 6768 |
Excluded observations: | 3960 |
Init log likelihood: | -6520.158 |
Final log likelihood: | -5236.9 |
Likelihood ratio test for the init. model: | 2566.516 |
Rho-square for the init. model: | 0.197 |
Rho-square-bar for the init. model: | 0.196 |
Akaike Information Criterion: | 10483.8 |
Bayesian Information Criterion: | 10517.9 |
Final gradient norm: | 8.7594E-03 |
Nbr of threads: | 36 |
Algorithm: | BFGS with trust region for simple bound constraints |
Proportion analytical hessian: | 0.0% |
Relative projected gradient: | 7.67413e-07 |
Number of iterations: | 31 |
Number of function evaluations: | 92 |
Number of gradient evaluations: | 31 |
Number of hessian evaluations: | 0 |
Cause of termination: | Relative gradient = 7.7e-07 <= 6.1e-06 |
Optimization time: | 0:00:00.390745 |
Name | Value | Std err | t-test | p-value | Rob. Std err | Rob. t-test | Rob. p-value |
---|---|---|---|---|---|---|---|
ASC_CAR | -0.343 | 0.083 | -4.14 | 3.48e-05 | 0.119 | -2.89 | 0.00385 |
ASC_TRAIN | -1.05 | 0.103 | -10.2 | 0 | 0.165 | -6.37 | 1.84e-10 |
B_COST | -1.76 | 0.0999 | -17.6 | 0 | 0.149 | -11.8 | 0 |
B_TIME | -1.85 | 0.101 | -18.2 | 0 | 0.226 | -8.18 | 2.22e-16 |
MU | 0.487 | 0.0279 | 17.5 | 0 | 0.0389 | 12.5 | 0 |
Coefficient1 | Coefficient2 | Covariance | Correlation | t-test | p-value | Rob. cov. | Rob. corr. | Rob. t-test | Rob. p-value |
---|---|---|---|---|---|---|---|---|---|
ASC_TRAIN | ASC_CAR | 0.00706 | 0.826 | -12.2 | 0 | 0.0181 | 0.921 | -9.8 | 0 |
B_COST | ASC_CAR | 0.00305 | 0.368 | -13.7 | 0 | 0.00299 | 0.168 | -8.12 | 4.44e-16 |
B_COST | ASC_TRAIN | 0.00331 | 0.321 | -5.99 | 2.1e-09 | 0.00169 | 0.0685 | -3.3 | 0.00098 |
B_TIME | ASC_CAR | -0.00269 | -0.32 | -10 | 0 | -0.0159 | -0.594 | -4.83 | 1.39e-06 |
B_TIME | ASC_TRAIN | -0.00435 | -0.417 | -4.62 | 3.85e-06 | -0.0262 | -0.705 | -2.2 | 0.028 |
B_TIME | B_COST | 0.00343 | 0.339 | -0.745 | 0.456 | 0.0162 | 0.482 | -0.427 | 0.67 |
MU | ASC_CAR | 0.00103 | 0.444 | 11.1 | 0 | 0.00165 | 0.357 | 7.48 | 7.68e-14 |
MU | ASC_TRAIN | 0.0013 | 0.453 | 16.4 | 0 | 0.00182 | 0.284 | 9.71 | 0 |
MU | B_COST | 0.00154 | 0.552 | 25.6 | 0 | 0.00372 | 0.64 | 17.6 | 0 |
MU | B_TIME | 0.00102 | 0.361 | 24.6 | 0 | 0.0032 | 0.365 | 10.9 | 0 |
Smallest eigenvalue: 50.6435
Largest eigenvalue: 3312.7
Condition number: 65.4121