biogeme 3.1.0 [October 1, 2018]

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 2018-12-27 15:46:19.281589

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: 14selectionBias.html
Database name: swissmetro

Estimation report

Number of estimated parameters: 6
Sample size: 6768
Excluded observations: 3960
Init log likelihood: -6511.31
Final log likelihood: -5169.642
Likelihood ratio test for the init. model: 2683.336
Rho-square for the init. model: 0.206
Rho-square-bar for the init. model: 0.205
Akaike Information Criterion: 10351.28
Bayesian Information Criterion: 10392.2
Final gradient norm: 1.5782E-02
Diagnostic: b'CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL'
Database readings: 60
Iterations: 52
Data processing time: 0:00:00.000007
Optimization time: 0:00:02.524473
Nbr of threads: 8

Estimated parameters

Click on the headers of the columns to sort the table [Credits]

NameValueStd errt-testp-valueRob. Std errRob. t-testRob. p-value
ASC_CAR-0.3170.0443-7.168.22e-130.0597-5.311.11e-07
ASC_TRAIN-10.23.13-3.270.001073.15-3.250.00115
B_COST-1.110.0511-21.600.0672-16.50
B_TIME-1.130.0576-19.600.103-10.90
MU1.140.045924.900.046624.60
SB_TRAIN10.43.153.310.0009433.163.290.000995

Correlation of coefficients

Click on the headers of the columns to sort the table [Credits]

Coefficient1Coefficient2CovarianceCorrelationt-testp-valueRob. cov.Rob. corr.Rob. t-testRob. p-value
ASC_TRAINASC_CAR-0.0268-0.193-3.160.00157-0.0319-0.169-3.140.00169
B_COSTASC_CAR0.0005080.224-13.200.0002430.0605-9.060
B_COSTASC_TRAIN0.007080.04422.920.00349-0.0324-0.1532.890.00384
B_TIMEASC_CAR-0.00155-0.607-8.860-0.00498-0.806-5.211.88e-07
B_TIMEASC_TRAIN0.04860.2692.930.003430.02840.08712.90.00372
B_TIMEB_COST0.0005210.177-0.3010.7630.001830.264-0.1960.845
MUASC_CAR-0.000484-0.23820.60-0.000657-0.23617.40
MUASC_TRAIN0.1420.9843.690.0002240.1440.9833.670.000244
MUB_COST7.79e-050.033233.30-0.00049-0.15625.70
MUB_TIME0.0007830.29636.600.0006910.14421.20
SB_TRAINASC_CAR0.02780.1993.420.0006330.03490.1853.40.000665
SB_TRAINASC_TRAIN-9.86-13.290.001-9.96-13.270.00107
SB_TRAINB_COST-0.00717-0.04453.660.0002570.03160.1493.650.00026
SB_TRAINB_TIME-0.0506-0.2793.650.000266-0.0346-0.1063.630.000279
SB_TRAINMU-0.142-0.9822.90.00371-0.144-0.9812.890.00388

Smallest eigenvalue: 0.0507092

Smallest singular value: 0.0507092