biogeme 3.2.8 [2021-07-26]

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 2021-07-26 22:21:52.893281

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: -4796.857
Final log likelihood: -3573.555
Likelihood ratio test for the init. model: 2446.605
Rho-square for the init. model: 0.255
Rho-square-bar for the init. model: 0.253
Akaike Information Criterion: 7163.11
Bayesian Information Criterion: 7200.092
Final gradient norm: 2.9574E-03
Number of draws: 100000
Draws generation time: 0:02:25.574120
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: Newton with trust region for simple bound constraints
Proportion analytical hessian: 100.0%
Relative projected gradient: 1.107666e-06
Relative change: 0.0035386694197304673
Number of iterations: 16
Number of function evaluations: 41
Number of gradient evaluations: 13
Number of hessian evaluations: 13
Cause of termination: Relative gradient = 1.1e-06 <= 6.1e-06
Optimization time: 3:26:38.486798

Estimated parameters

NameValueStd errt-testp-valueRob. Std errRob. t-testRob. p-value
ASC_CAR0.4070.2141.90.05690.2461.660.0973
ASC_CAR_S3.960.2471600.31712.50
ASC_SM_S1.010.4542.230.02580.5241.930.0535
ASC_TRAIN-0.4220.226-1.860.06230.238-1.770.077
ASC_TRAIN_S2.430.3097.863.77e-150.347.158.7e-13
B_COST-3.790.207-18.300.288-13.20
B_TIME-6.030.301-2000.359-16.80
B_TIME_S3.730.22416.700.23415.90

Correlation of coefficients

Coefficient1Coefficient2CovarianceCorrelationt-testp-valueRob. cov.Rob. corr.Rob. t-testRob. p-value
ASC_CAR_SASC_CAR-0.00602-0.11410.30-0.0271-0.3487.661.84e-14
ASC_SM_SASC_CAR0.02030.211.320.1880.04850.3771.240.215
ASC_SM_SASC_CAR_S-0.0217-0.194-5.31.17e-07-0.0661-0.398-4.143.43e-05
ASC_TRAINASC_CAR0.01420.293-3.170.001550.02310.394-3.110.00187
ASC_TRAINASC_CAR_S0.003780.0677-13.600.005450.0721-11.40
ASC_TRAINASC_SM_S0.02770.27-3.190.001410.03570.286-2.810.00492
ASC_TRAIN_SASC_CAR-0.01-0.1515.044.71e-07-0.0265-0.3174.232.34e-05
ASC_TRAIN_SASC_CAR_S0.008840.116-4.114e-050.02680.249-3.80.000148
ASC_TRAIN_SASC_SM_S-0.083-0.5922.080.0378-0.114-0.641.810.0709
ASC_TRAIN_SASC_TRAIN-0.0405-0.585.982.28e-09-0.0493-0.6095.484.31e-08
B_COSTASC_CAR0.005890.133-15.10-0.00217-0.0308-10.90
B_COSTASC_CAR_S-0.0313-0.614-190-0.00534-0.0586-17.60
B_COSTASC_SM_S-0.0108-0.115-9.230-0.0655-0.435-6.876.57e-12
B_COSTASC_TRAIN-0.00447-0.0956-10.50-0.0136-0.198-8.242.22e-16
B_COSTASC_TRAIN_S0.00250.0391-1700.03020.309-16.70
B_TIMEASC_CAR-0.0156-0.243-15.70-0.0374-0.424-12.50
B_TIMEASC_CAR_S-0.0342-0.46-21.30-0.0241-0.212-18.90
B_TIMEASC_SM_S-0.0112-0.0821-12.50-0.0614-0.327-9.70
B_TIMEASC_TRAIN-0.0272-0.4-12.70-0.0435-0.508-10.70
B_TIMEASC_TRAIN_S0.005640.0606-20.200.0360.295-20.40
B_TIMEB_COST0.02990.48-8.272.22e-160.05770.559-7.225.07e-13
B_TIME_SASC_CAR0.007160.1511.600.0220.38212.40
B_TIME_SASC_CAR_S0.0230.418-0.9090.3630.01480.2-0.6530.514
B_TIME_SASC_SM_S0.006460.06375.523.45e-080.04210.3445.493.91e-08
B_TIME_SASC_TRAIN0.01370.27215.300.02670.47917.20
B_TIME_SASC_TRAIN_S-0.00709-0.1033.250.00116-0.0244-0.3072.770.00553
B_TIME_SB_COST-0.0202-0.43820.60-0.0368-0.54716.40
B_TIME_SB_TIME-0.0507-0.75419.80-0.0787-0.93616.70

Smallest eigenvalue: 3.72712

Largest eigenvalue: 80.7282

Condition number: 21.6596