biogeme 2.6a [Mon Apr 17 15:33:55 CEST 2017]
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Michel Bierlaire, Transport and Mobility Laboratory, Ecole Polytechnique Fédérale de Lausanne (EPFL)
This file has automatically been generated on Tue Apr 18 19:56:17 2017
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| Report file: | 13panelNormalized.html |
| Sample file: | __bin_swissmetro.dat |
| Car utility: | ASC_CAR + B_TIME * CAR_TT_SCALED + B_COST * CAR_CO_SCALED + SIGMA_CAR * ( Normal(0) ) |
| Swissmetro utility: | ASC_SM + B_TIME * SM_TT_SCALED + B_COST * SM_COST_SCALED |
| Train utility: | ASC_TRAIN + B_TIME * TRAIN_TT_SCALED + B_COST * TRAIN_COST_SCALED + SIGMA_TRAIN * ( Normal(1) ) |
| Number of individuals: | 752 |
| Number of draws: | 500 |
| Number of estimated parameters: | 6 |
| Sample size: | 6768 |
| Excluded observations: | 3960 |
| Init log likelihood: | -3837.854 |
| Final log likelihood: | -3833.443 |
| Likelihood ratio test for the init. model: | 8.823 |
| Rho-square for the init. model: | 0.001 |
| Rho-square-bar for the init. model: | -0.000 |
| Akaike Information Criterion: | 7678.886 |
| Bayesian Information Criterion: | 7719.805 |
| Final gradient norm: | +1.101e-05 |
| Diagnostic: | Trust region algorithm with simple bounds (CGT2000): Convergence reached... |
| Iterations: | 5 |
| Data processing time: | 00:00 |
| Run time: | 00:37 |
| Nbr of threads: | 12 |
Click on the headers of the columns to sort the table [Credits]
| Name | Value | Std err | t-test | p-value | Robust Std err | Robust t-test | p-value | ||
|---|---|---|---|---|---|---|---|---|---|
| ASC_CAR | -0.898 | 0.207 | -4.35 | 0.00 | 0.669 | -1.34 | 0.18 | * | |
| ASC_TRAIN | -2.19 | 0.239 | -9.19 | 0.00 | 0.482 | -4.55 | 0.00 | ||
| B_COST | -2.92 | 0.176 | -16.61 | 0.00 | 0.431 | -6.77 | 0.00 | ||
| B_TIME | -2.99 | 0.148 | -20.22 | 0.00 | 0.538 | -5.57 | 0.00 | ||
| SIGMA_CAR | 4.52 | 0.318 | 14.19 | 0.00 | 1.19 | 3.79 | 0.00 | ||
| SIGMA_TRAIN | 3.30 | 0.188 | 17.53 | 0.00 | 0.224 | 14.75 | 0.00 |
Click on the headers of the columns to sort the table [Credits]
| Coefficient1 | Coefficient2 | Covariance | Correlation | t-test | p-value | Rob. cov. | Rob. corr. | Rob. t-test | p-value | ||
|---|---|---|---|---|---|---|---|---|---|---|---|
| B_COST | B_TIME | 0.0137 | 0.526 | 0.44 | 0.66 | * | 0.00202 | 0.00873 | 0.10 | 0.92 | * |
| ASC_TRAIN | B_TIME | -0.00969 | -0.274 | 2.55 | 0.01 | -0.212 | -0.819 | 0.82 | 0.41 | * | |
| SIGMA_CAR | SIGMA_TRAIN | 0.0120 | 0.199 | 3.62 | 0.00 | 0.114 | 0.425 | 1.09 | 0.28 | * | |
| ASC_TRAIN | B_COST | -0.00128 | -0.0305 | 2.42 | 0.02 | 0.0596 | 0.287 | 1.33 | 0.18 | * | |
| ASC_CAR | B_TIME | 0.00163 | 0.0534 | 8.46 | 0.00 | -0.133 | -0.369 | 2.09 | 0.04 | ||
| ASC_CAR | ASC_TRAIN | 0.00222 | 0.0450 | 4.20 | 0.00 | 0.188 | 0.583 | 2.35 | 0.02 | ||
| ASC_CAR | SIGMA_CAR | -0.0159 | -0.242 | -12.92 | 0.00 | -0.740 | -0.927 | -2.96 | 0.00 | ||
| ASC_TRAIN | SIGMA_CAR | 0.00641 | 0.0844 | -17.60 | 0.00 | -0.269 | -0.468 | -4.53 | 0.00 | ||
| B_COST | SIGMA_CAR | -0.0362 | -0.646 | -16.45 | 0.00 | -0.410 | -0.796 | -4.77 | 0.00 | ||
| ASC_CAR | B_COST | 0.0114 | 0.313 | 8.97 | 0.00 | 0.227 | 0.788 | 4.78 | 0.00 | ||
| ASC_CAR | SIGMA_TRAIN | -4.10e-05 | -0.00105 | -15.01 | 0.00 | -0.0586 | -0.392 | -5.36 | 0.00 | ||
| B_TIME | SIGMA_CAR | -0.0314 | -0.667 | -17.41 | 0.00 | 0.133 | 0.208 | -6.24 | 0.00 | ||
| ASC_TRAIN | SIGMA_TRAIN | -0.0288 | -0.641 | -14.18 | 0.00 | -0.0428 | -0.398 | -9.06 | 0.00 | ||
| B_TIME | SIGMA_TRAIN | -0.00438 | -0.157 | -24.48 | 0.00 | -0.00681 | -0.0566 | -10.60 | 0.00 | ||
| B_COST | SIGMA_TRAIN | -0.00572 | -0.173 | -22.30 | 0.00 | -0.0430 | -0.445 | -10.97 | 0.00 |
Smallest singular value: 4.54647