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 15:44:00.441702

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: 12panel.html
Database name: swissmetro

Estimation report

Number of estimated parameters: 8
Sample size: 752
Observations: 6768
Excluded observations: 3960
Init log likelihood: -4796.743
Final log likelihood: -3572.965
Likelihood ratio test for the init. model: 2447.558
Rho-square for the init. model: 0.255
Rho-square-bar for the init. model: 0.253
Akaike Information Criterion: 7161.929
Bayesian Information Criterion: 7198.911
Final gradient norm: 4.6562E-03
Number of draws: 100000
Draws generation time: 0:02:39.944341
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: 3.051935e-06
Number of iterations: 50
Number of function evaluations: 151
Number of gradient evaluations: 51
Number of hessian evaluations: 0
Cause of termination: Relative gradient = 3.1e-06 <= 6.1e-06
Optimization time: 4:55:35.529744

Estimated parameters

NameValueStd errt-testp-valueRob. Std errRob. t-testRob. p-value
ASC_CAR0.4760.2232.140.03260.2441.950.0516
ASC_CAR_S4.010.25215.900.34511.60
ASC_SM_S1.320.4073.250.001160.43.310.000935
ASC_TRAIN-0.3070.225-1.360.1740.246-1.250.212
ASC_TRAIN_S2.150.3735.758.97e-090.3965.425.97e-08
B_COST-3.740.21-17.800.32-11.70
B_TIME-6.160.312-19.700.363-170
B_TIME_S3.870.21617.900.23116.80

Correlation of coefficients

Coefficient1Coefficient2CovarianceCorrelationt-testp-valueRob. cov.Rob. corr.Rob. t-testRob. p-value
ASC_CAR_SASC_CAR-0.00525-0.093810.10-0.02-0.2377.573.84e-14
ASC_SM_SASC_CAR0.02160.2382.040.04110.02750.2812.090.0366
ASC_SM_SASC_CAR_S-0.0129-0.126-5.339.94e-08-0.0182-0.132-4.791.65e-06
ASC_TRAINASC_CAR0.01770.353-3.070.002140.02420.402-2.920.0035
ASC_TRAINASC_CAR_S0.002650.0467-13.100.01730.204-11.40
ASC_TRAINASC_SM_S0.03250.354-4.182.85e-050.0370.376-4.262.03e-05
ASC_TRAIN_SASC_CAR-0.0174-0.2093.530.000414-0.0257-0.2663.230.00126
ASC_TRAIN_SASC_CAR_S0.009030.0961-4.351.34e-050.002350.0172-3.590.000328
ASC_TRAIN_SASC_SM_S-0.106-0.71.140.254-0.109-0.691.120.261
ASC_TRAIN_SASC_TRAIN-0.0509-0.6064.545.68e-06-0.0628-0.6464.192.81e-05
B_COSTASC_CAR0.00410.0878-14.40-0.00175-0.0224-10.40
B_COSTASC_CAR_S-0.0309-0.584-18.800.01070.0967-17.30
B_COSTASC_SM_S-0.0212-0.248-10.10-0.0562-0.439-8.272.22e-16
B_COSTASC_TRAIN-0.00658-0.139-10.40-0.00886-0.113-8.086.66e-16
B_COSTASC_TRAIN_S0.01290.165-14.800.03470.274-13.50
B_TIMEASC_CAR-0.0185-0.267-15.50-0.0336-0.379-130
B_TIMEASC_CAR_S-0.0362-0.461-21.10-0.0511-0.408-17.10
B_TIMEASC_SM_S-0.0175-0.137-13.70-0.0356-0.245-12.40
B_TIMEASC_TRAIN-0.0292-0.415-12.90-0.0475-0.532-10.90
B_TIMEASC_TRAIN_S0.01480.127-18.200.03850.268-180
B_TIMEB_COST0.03030.461-8.4900.04080.351-6.186.23e-10
B_TIME_SASC_CAR0.009520.19812.200.01880.33212.40
B_TIME_SASC_CAR_S0.02440.45-0.5780.5640.03550.445-0.4480.654
B_TIME_SASC_SM_S0.01260.1435.893.93e-090.02330.2536.244.29e-10
B_TIME_SASC_TRAIN0.01710.35216.600.03010.53180
B_TIME_SASC_TRAIN_S-0.0127-0.1573.760.000171-0.0247-0.273.390.000698
B_TIME_SB_COST-0.0204-0.449210-0.0248-0.33516.80
B_TIME_SB_TIME-0.0588-0.87219.60-0.0826-0.98316.90

Smallest eigenvalue: 3.40327

Largest eigenvalue: 134.641

Condition number: 39.5623