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 20:02:39 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: | 25triangularMixture.html |
Sample file: | __bin_swissmetro.dat |
Car utility: | ASC_CAR + ( B_TIME + B_TIME_S * ( User defined(2) ) ) * CAR_TT_SCALED + B_COST * CAR_CO_SCALED |
Swissmetro utility: | ASC_SM + ( B_TIME + B_TIME_S * ( User defined(2) ) ) * SM_TT_SCALED + B_COST * SM_COST_SCALED |
Train utility: | ASC_TRAIN + ( B_TIME + B_TIME_S * ( User defined(2) ) ) * 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: | -6964.663 |
Final log likelihood: | -5214.220 |
Likelihood ratio test for the init. model: | 3500.887 |
Rho-square for the init. model: | 0.251 |
Rho-square-bar for the init. model: | 0.251 |
Akaike Information Criterion: | 10438.439 |
Bayesian Information Criterion: | 10472.539 |
Final gradient norm: | +3.714e-03 |
Diagnostic: | Trust region algorithm with simple bounds (CGT2000): Convergence reached... |
Iterations: | 8 |
Data processing time: | 00:00 |
Run time: | 00:46 |
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 | 0.140 | 0.0518 | 2.71 | 0.01 | 0.0521 | 2.69 | 0.01 | ||
ASC_TRAIN | -0.393 | 0.0635 | -6.20 | 0.00 | 0.0657 | -5.98 | 0.00 | ||
B_COST | -1.28 | 0.0627 | -20.41 | 0.00 | 0.0863 | -14.83 | 0.00 | ||
B_TIME | -2.27 | 0.121 | -18.84 | 0.00 | 0.119 | -19.11 | 0.00 | ||
B_TIME_S | 3.95 | 0.320 | 12.33 | 0.00 | 0.306 | 12.93 | 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 | ||
---|---|---|---|---|---|---|---|---|---|---|---|
ASC_TRAIN | B_COST | -0.000140 | -0.0351 | 9.77 | 0.00 | -0.000301 | -0.0530 | 7.98 | 0.00 | ||
B_COST | B_TIME | 0.00232 | 0.306 | 8.42 | 0.00 | 0.00363 | 0.354 | 8.27 | 0.00 | ||
ASC_CAR | ASC_TRAIN | 0.00207 | 0.629 | 10.52 | 0.00 | 0.00226 | 0.660 | 10.64 | 0.00 | ||
ASC_TRAIN | B_TIME | -0.00469 | -0.614 | 11.23 | 0.00 | -0.00484 | -0.620 | 11.19 | 0.00 | ||
ASC_CAR | B_TIME_S | 0.00716 | 0.432 | -12.63 | 0.00 | 0.00704 | 0.442 | -13.31 | 0.00 | ||
ASC_CAR | B_COST | 0.000190 | 0.0585 | 17.98 | 0.00 | 0.000149 | 0.0331 | 14.30 | 0.00 | ||
ASC_TRAIN | B_TIME_S | 0.00474 | 0.233 | -13.94 | 0.00 | 0.00407 | 0.202 | -14.52 | 0.00 | ||
ASC_CAR | B_TIME | -0.00403 | -0.646 | 15.16 | 0.00 | -0.00399 | -0.645 | 15.30 | 0.00 | ||
B_COST | B_TIME_S | -0.00574 | -0.285 | -15.23 | 0.00 | -0.00713 | -0.270 | -15.42 | 0.00 | ||
B_TIME | B_TIME_S | -0.0303 | -0.786 | -14.75 | 0.00 | -0.0276 | -0.759 | -15.43 | 0.00 |
Smallest singular value: 4.80155