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 14:53:46.521793

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: 13panel.html
Database name: swissmetro

Estimation report

Number of estimated parameters: 8
Sample size: 752
Observations: 6768
Excluded observations: 3960
Init log likelihood: -3624.138
Final log likelihood: -3574.876
Likelihood ratio test for the init. model: 98.52461
Rho-square for the init. model: 0.0136
Rho-square-bar for the init. model: 0.0114
Akaike Information Criterion: 7165.751
Bayesian Information Criterion: 7202.733
Final gradient norm: 3.8518E-03
Number of draws: 100000
Draws generation time: 0:02:41.146245
Types of draws: ['ASC_CAR_RND: NORMAL_ANTI', 'ASC_SM_RND: NORMAL_ANTI', 'ASC_TRAIN_RND: NORMAL_ANTI', 'B_TIME_RND: NORMAL_ANTI']
Nbr of threads: 36
Algorithm: BFGS with trust region for simple bound constraints
Proportion analytical hessian: 0.0%
Relative projected gradient: 2.96998e-06
Number of iterations: 45
Number of function evaluations: 136
Number of gradient evaluations: 46
Number of hessian evaluations: 0
Cause of termination: Relative gradient = 3e-06 <= 6.1e-06
Optimization time: 4:05:25.684452

Estimated parameters

NameValueStd errt-testp-valueRob. Std errRob. t-testRob. p-value
ASC_CAR0.4290.2142.010.04490.241.790.0735
ASC_CAR_S3.940.2615.200.34511.40
ASC_SM_S1.20.3543.380.0007270.3463.460.000543
ASC_TRAIN-0.380.222-1.710.08710.231-1.650.0991
ASC_TRAIN_S2.390.2938.154.44e-160.3057.854.22e-15
B_COST-3.680.2-18.400.309-11.90
B_TIME-6.080.305-2000.352-17.30
B_TIME_S3.70.22516.400.22816.20

Correlation of coefficients

Coefficient1Coefficient2CovarianceCorrelationt-testp-valueRob. cov.Rob. corr.Rob. t-testRob. p-value
ASC_CAR_SASC_CAR-0.00686-0.1239.840-0.0263-0.3177.332.25e-13
ASC_SM_SASC_CAR0.0130.1712.010.0440.02270.2732.110.0346
ASC_SM_SASC_CAR_S-0.0194-0.211-5.691.25e-08-0.0499-0.418-4.712.46e-06
ASC_TRAINASC_CAR0.01340.283-3.10.001960.01910.344-30.00266
ASC_TRAINASC_CAR_S0.006710.116-13.400.01460.184-11.40
ASC_TRAINASC_SM_S0.01210.154-4.064.83e-050.005420.0679-3.928.94e-05
ASC_TRAIN_SASC_CAR-0.00685-0.1095.142.71e-07-0.0161-0.2214.594.39e-06
ASC_TRAIN_SASC_CAR_S0.004670.0613-4.074.66e-050.01590.151-3.650.000267
ASC_TRAIN_SASC_SM_S-0.0489-0.472.150.0317-0.0445-0.4222.180.0296
ASC_TRAIN_SASC_TRAIN-0.0356-0.5466.11.08e-09-0.0388-0.5525.864.52e-09
B_COSTASC_CAR0.006240.146-15.20-0.00372-0.0502-10.30
B_COSTASC_CAR_S-0.0303-0.583-18.600.01010.0948-17.30
B_COSTASC_SM_S-0.0119-0.167-11.20-0.0578-0.541-8.480
B_COSTASC_TRAIN-0.00374-0.0842-10.60-0.00828-0.116-8.134.44e-16
B_COSTASC_TRAIN_S0.001960.0335-17.400.02960.315-16.90
B_TIMEASC_CAR-0.0148-0.227-15.90-0.0301-0.356-13.20
B_TIMEASC_CAR_S-0.0381-0.481-20.60-0.0424-0.35-17.50
B_TIMEASC_SM_S-0.00286-0.0264-15.40-0.0157-0.129-13.90
B_TIMEASC_TRAIN-0.0268-0.396-12.90-0.0397-0.489-11.30
B_TIMEASC_TRAIN_S0.002130.0238-20.300.01930.18-20.10
B_TIMEB_COST0.0280.46-8.6600.04690.432-6.781.17e-11
B_TIME_SASC_CAR0.007680.15911.500.01850.33712.10
B_TIME_SASC_CAR_S0.0250.426-0.9110.3620.02630.333-0.6910.489
B_TIME_SASC_SM_S0.003420.04286.081.21e-090.0140.1776.64.2e-11
B_TIME_SASC_TRAIN0.01380.27615.200.02420.4617.10
B_TIME_SASC_TRAIN_S-0.00616-0.0933.390.000706-0.0139-0.1993.150.00164
B_TIME_SB_COST-0.0185-0.4120.70-0.0297-0.42216.20
B_TIME_SB_TIME-0.0517-0.75319.70-0.0748-0.9317.10

Smallest eigenvalue: 5.47833

Largest eigenvalue: 78.528

Condition number: 14.3343