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 23:34:57.659428

Report file: 26triangularPanelMixture.html
Database name: swissmetro

Estimation report

Number of estimated parameters: 8
Sample size: 752
Observations: 6768
Excluded observations: 3960
Init log likelihood: -5828.723
Final log likelihood: -3594.747
Likelihood ratio test for the init. model: 4467.952
Rho-square for the init. model: 0.383
Rho-square-bar for the init. model: 0.382
Akaike Information Criterion: 7205.495
Bayesian Information Criterion: 7242.477
Final gradient norm: 4.2544E-03
Number of draws: 100000
Draws generation time: 0:01:45.094008
Types of draws: ['ASC_CAR_RND: TRIANGULAR', 'ASC_SM_RND: TRIANGULAR', 'ASC_TRAIN_RND: TRIANGULAR', 'B_TIME_RND: TRIANGULAR']
Nbr of threads: 36
Algorithm: Newton with trust region for simple bound constraints
Proportion analytical hessian: 100.0%
Relative projected gradient: 2.915686e-06
Relative change: 0.009383335251084656
Number of iterations: 19
Number of function evaluations: 44
Number of gradient evaluations: 13
Number of hessian evaluations: 13
Cause of termination: Relative gradient = 2.9e-06 <= 6.1e-06
Optimization time: 3:37:55.184601

Estimated parameters

NameValueStd errt-testp-valueRob. Std errRob. t-testRob. p-value
ASC_CAR0.3480.2221.560.1180.2761.260.207
ASC_CAR_S9.310.66813.900.84111.10
ASC_SM_S-3.360.866-3.880.0001041.2-2.790.00525
ASC_TRAIN-0.4540.238-1.90.05680.276-1.640.1
ASC_TRAIN_S5.970.748.076.66e-161.15.435.52e-08
B_COST-3.340.195-17.100.424-7.873.77e-15
B_TIME-5.950.305-19.500.399-14.90
B_TIME_S8.830.53616.500.67213.10

Correlation of coefficients

Coefficient1Coefficient2CovarianceCorrelationt-testp-valueRob. cov.Rob. corr.Rob. t-testRob. p-value
ASC_CAR_SASC_CAR-0.0326-0.22120-0.101-0.4349.030
ASC_SM_SASC_CAR-0.0511-0.265-3.919.39e-05-0.156-0.47-2.740.00622
ASC_SM_SASC_CAR_S0.1670.288-13.600.3180.314-10.30
ASC_TRAINASC_CAR0.01550.293-2.920.003460.03230.425-2.710.00676
ASC_TRAINASC_CAR_S0.01490.0934-14.200.02270.0978-11.40
ASC_TRAINASC_SM_S-0.0391-0.1893.090.002-0.134-0.4042.170.03
ASC_TRAIN_SASC_CAR-0.0256-0.1556.982.87e-12-0.125-0.4144.545.65e-06
ASC_TRAIN_SASC_CAR_S0.05210.105-3.540.0003930.170.184-2.660.00773
ASC_TRAIN_SASC_SM_S0.3030.47211.200.9220.69710.30
ASC_TRAIN_SASC_TRAIN-0.106-0.6027.111.16e-12-0.214-0.7074.919.11e-07
B_COSTASC_CAR0.01010.234-14.20-0.0227-0.194-6.711.94e-11
B_COSTASC_CAR_S-0.0741-0.57-15.900.05720.16-14.40
B_COSTASC_SM_S0.001060.006310.02860.9770.1930.3780.02270.982
B_COSTASC_TRAIN0.0002880.00621-9.390-0.0232-0.198-5.241.6e-07
B_COSTASC_TRAIN_S-0.0153-0.106-11.900.190.408-9.270
B_TIMEASC_CAR-0.0155-0.229-15.10-0.0515-0.467-10.80
B_TIMEASC_CAR_S-0.0863-0.424-18.10-0.0618-0.184-15.30
B_TIMEASC_SM_S0.03730.141-2.960.003110.2350.489-2.430.0151
B_TIMEASC_TRAIN-0.0289-0.397-12.10-0.0652-0.592-9.090
B_TIMEASC_TRAIN_S0.02120.0938-15.400.2150.491-12.30
B_TIMEB_COST0.02230.376-8.9100.08050.475-6.25.75e-10
B_TIME_SASC_CAR0.01740.14615.400.08450.45614.20
B_TIME_SASC_CAR_S0.1380.385-0.7170.4740.07830.138-0.4840.628
B_TIME_SASC_SM_S-0.0548-0.11811.40-0.425-0.5267.352.01e-13
B_TIME_SASC_TRAIN0.03970.31118.100.1120.60216.80
B_TIME_SASC_TRAIN_S-0.0545-0.1372.940.00325-0.405-0.5491.820.0689
B_TIME_SB_COST-0.0357-0.34219.30-0.144-0.50412.70
B_TIME_SB_TIME-0.13-0.79718.50-0.255-0.949140

Smallest eigenvalue: 0.969287

Largest eigenvalue: 56.5002

Condition number: 58.2905