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 16:04:21.370263

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: 26triangularPanelMixture.html
Database name: swissmetro

Estimation report

Number of estimated parameters: 8
Sample size: 752
Observations: 6768
Excluded observations: 3960
Init log likelihood: -5828.526
Final log likelihood: -3594.384
Likelihood ratio test for the init. model: 4468.285
Rho-square for the init. model: 0.383
Rho-square-bar for the init. model: 0.382
Akaike Information Criterion: 7204.768
Bayesian Information Criterion: 7241.75
Final gradient norm: 8.8979E-03
Number of draws: 100000
Draws generation time: 0:01:55.291815
Types of draws: ['ASC_CAR_RND: TRIANGULAR', 'ASC_SM_RND: TRIANGULAR', 'ASC_TRAIN_RND: TRIANGULAR', 'B_TIME_RND: TRIANGULAR']
Nbr of threads: 36
Algorithm: BFGS with trust region for simple bound constraints
Proportion analytical hessian: 0.0%
Relative projected gradient: 3.372307e-06
Number of iterations: 56
Number of function evaluations: 169
Number of gradient evaluations: 57
Number of hessian evaluations: 0
Cause of termination: Relative gradient = 3.4e-06 <= 6.1e-06
Optimization time: 5:16:27.162747

Estimated parameters

NameValueStd errt-testp-valueRob. Std errRob. t-testRob. p-value
ASC_CAR0.390.221.770.07650.2551.530.126
ASC_CAR_S9.410.65914.300.910.50
ASC_SM_S3.550.7075.034.99e-070.8244.311.63e-05
ASC_TRAIN-0.3470.23-1.510.1310.244-1.420.154
ASC_TRAIN_S5.580.6888.124.44e-160.8026.963.33e-12
B_COST-3.270.19-17.300.456-7.177.48e-13
B_TIME-6.090.309-19.700.361-16.90
B_TIME_S8.920.51617.300.55416.10

Correlation of coefficients

Coefficient1Coefficient2CovarianceCorrelationt-testp-valueRob. cov.Rob. corr.Rob. t-testRob. p-value
ASC_CAR_SASC_CAR-0.0253-0.17412.40-0.0887-0.3878.80
ASC_SM_SASC_CAR0.02720.1754.56.73e-060.06530.3114.045.4e-05
ASC_SM_SASC_CAR_S-0.0832-0.178-5.582.34e-08-0.269-0.362-4.123.86e-05
ASC_TRAINASC_CAR0.01390.275-2.720.006530.01830.295-2.490.0128
ASC_TRAINASC_CAR_S0.02180.144-14.600.05120.234-11.10
ASC_TRAINASC_SM_S0.01940.119-5.445.28e-080.01910.0952-4.663.16e-06
ASC_TRAIN_SASC_CAR-0.0134-0.08847.022.28e-12-0.046-0.2255.816.36e-09
ASC_TRAIN_SASC_CAR_S0.001520.00334-4.035.68e-050.07370.102-3.350.000804
ASC_TRAIN_SASC_SM_S-0.184-0.3791.750.0796-0.311-0.4711.460.145
ASC_TRAIN_SASC_TRAIN-0.091-0.5767.051.78e-12-0.113-0.5796.157.54e-10
B_COSTASC_CAR0.008520.204-14.10-0.0226-0.194-6.498.56e-11
B_COSTASC_CAR_S-0.0689-0.551-16.300.1190.291-14.40
B_COSTASC_SM_S-0.0236-0.176-8.940-0.252-0.67-5.797.22e-09
B_COSTASC_TRAIN-0.00279-0.0639-9.520-0.0138-0.125-5.387.31e-08
B_COSTASC_TRAIN_S0.003190.0244-12.500.1790.489-12.60
B_TIMEASC_CAR-0.0143-0.211-15.60-0.0305-0.332-12.80
B_TIMEASC_CAR_S-0.0969-0.476-18.20-0.115-0.353-14.30
B_TIMEASC_SM_S-0.0166-0.0758-12.20-0.0678-0.228-9.910
B_TIMEASC_TRAIN-0.0279-0.394-12.70-0.0442-0.503-10.90
B_TIMEASC_TRAIN_S0.01020.048-15.800.07040.243-14.70
B_TIMEB_COST0.02470.421-9.8200.05860.356-5.982.27e-09
B_TIME_SASC_CAR0.01420.12515.900.04080.28915.80
B_TIME_SASC_CAR_S0.1570.461-0.8020.4230.1880.378-0.580.562
B_TIME_SASC_SM_S0.009210.02526.25.61e-100.09370.20562e-09
B_TIME_SASC_TRAIN0.03480.29318.600.06620.4919.20
B_TIME_SASC_TRAIN_S-0.0221-0.06233.760.000168-0.107-0.243.090.00202
B_TIME_SB_COST-0.0383-0.39219.80-0.0862-0.34114.70
B_TIME_SB_TIME-0.132-0.832190-0.193-0.96616.50

Smallest eigenvalue: 1.43561

Largest eigenvalue: 64.9108

Condition number: 45.2148