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 20:00:35 2017
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: | 17lognormalMixture.html |
Sample file: | __bin_swissmetro.dat |
Car utility: | ASC_CAR + ( -(exp(B_TIME + B_TIME_S * ( Normal(0) ))) ) * CAR_TT_SCALED + B_COST * CAR_CO_SCALED |
Swissmetro utility: | ASC_SM + ( -(exp(B_TIME + B_TIME_S * ( Normal(0) ))) ) * SM_TT_SCALED + B_COST * SM_COST_SCALED |
Train utility: | ASC_TRAIN + ( -(exp(B_TIME + B_TIME_S * ( Normal(0) ))) ) * TRAIN_TT_SCALED + B_COST * TRAIN_COST_SCALED |
Alt. 1 available: | 6768 |
Alt. 1 chosen: | 908 |
Alt. 2 available: | 6768 |
Alt. 2 chosen: | 4090 |
Alt. 3 available: | 5607 |
Alt. 3 chosen: | 1770 |
Cte loglikelihood (only for full choice sets): | -6257.86 |
Null loglikelihood: | -6964.66 |
Number of draws: | 500 |
Number of estimated parameters: | 5 |
Sample size: | 6768 |
Excluded observations: | 3960 |
Init log likelihood: | -5231.453 |
Final log likelihood: | -5231.453 |
Likelihood ratio test for the init. model: | 0.000 |
Rho-square for the init. model: | 0.000 |
Rho-square-bar for the init. model: | -0.001 |
Akaike Information Criterion: | 10472.905 |
Bayesian Information Criterion: | 10507.005 |
Final gradient norm: | +6.154e-05 |
Diagnostic: | Trust region algorithm with simple bounds (CGT2000): Convergence reached... |
Iterations: | 1 |
Data processing time: | 00:00 |
Run time: | 00:12 |
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 | 0.174 | 0.0582 | 2.99 | 0.00 | 0.0629 | 2.77 | 0.01 | ||
ASC_TRAIN | -0.346 | 0.0676 | -5.12 | 0.00 | 0.0733 | -4.72 | 0.00 | ||
B_COST | -1.38 | 0.0746 | -18.51 | 0.00 | 0.0978 | -14.10 | 0.00 | ||
B_TIME | 0.575 | 0.0653 | 8.81 | 0.00 | 0.0713 | 8.07 | 0.00 | ||
B_TIME_S | 1.24 | 0.104 | 11.93 | 0.00 | 0.135 | 9.18 | 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_TIME | B_TIME_S | 0.000636 | 0.0938 | -5.65 | 0.00 | 0.000451 | 0.0468 | -4.43 | 0.00 | ||
ASC_CAR | B_TIME | 0.00262 | 0.688 | -8.14 | 0.00 | 0.00314 | 0.700 | -7.63 | 0.00 | ||
ASC_TRAIN | B_COST | -0.000695 | -0.138 | 9.63 | 0.00 | -0.00131 | -0.183 | 7.80 | 0.00 | ||
ASC_CAR | B_TIME_S | 0.00157 | 0.259 | -10.13 | 0.00 | 0.00250 | 0.294 | -8.12 | 0.00 | ||
ASC_TRAIN | B_TIME_S | 0.000476 | 0.0677 | -13.21 | 0.00 | 0.000264 | 0.0267 | -10.43 | 0.00 | ||
ASC_CAR | ASC_TRAIN | 0.00277 | 0.703 | 10.56 | 0.00 | 0.00347 | 0.752 | 10.63 | 0.00 | ||
ASC_CAR | B_COST | -0.000378 | -0.0872 | 15.77 | 0.00 | -0.00109 | -0.177 | 12.40 | 0.00 | ||
B_COST | B_TIME_S | -0.00273 | -0.352 | -17.74 | 0.00 | -0.00472 | -0.357 | -13.57 | 0.00 | ||
B_COST | B_TIME | -0.00156 | -0.321 | -17.18 | 0.00 | -0.00282 | -0.404 | -13.72 | 0.00 | ||
ASC_TRAIN | B_TIME | 0.00342 | 0.773 | -20.54 | 0.00 | 0.00419 | 0.801 | -20.20 | 0.00 |
Smallest singular value: 1.30135