biogeme 3.1.0 [October 1, 2018]

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 2018-12-27 16:18:40.437942

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: 04modifVariables.html
Database name: swissmetro

Estimation report

Number of estimated parameters: 4
Sample size: 6768
Excluded observations: 3960
Init log likelihood: -6964.663
Final log likelihood: -5423.299
Likelihood ratio test for the init. model: 3082.728
Rho-square for the init. model: 0.221
Rho-square-bar for the init. model: 0.221
Akaike Information Criterion: 10854.6
Bayesian Information Criterion: 10881.88
Final gradient norm: 5.5776E-04
Diagnostic: b'CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL'
Database readings: 13
Iterations: 11
Data processing time: 0:00:00.000005
Optimization time: 0:00:00.113039
Nbr of threads: 8

Estimated parameters

Click on the headers of the columns to sort the table [Credits]

NameValueStd errt-testp-valueRob. Std errRob. t-testRob. p-value
ASC_CAR-0.2740.0457-61.92e-090.0628-4.371.24e-05
ASC_TRAIN-0.8510.056-15.200.0843-10.10
B_COST-1.040.0595-17.400.0661-15.70
B_TIME-1.070.0547-19.600.097-110

Correlation of coefficients

Click on the headers of the columns to sort the table [Credits]

Coefficient1Coefficient2CovarianceCorrelationt-testp-valueRob. cov.Rob. corr.Rob. t-testRob. p-value
ASC_TRAINASC_CAR0.001560.611-12.600.00440.831-12.20
B_COSTASC_CAR0.001140.42-13.200.001610.389-10.70
B_COSTASC_TRAIN0.0006710.202-2.540.01120.00160.287-2.030.042
B_TIMEASC_CAR-0.0015-0.602-8.860-0.00496-0.814-5.221.74e-07
B_TIMEASC_TRAIN-0.00223-0.727-2.140.0322-0.00721-0.882-1.250.21
B_TIMEB_COST-9.4e-05-0.0289-0.430.667-0.000791-0.123-0.2840.776

Smallest eigenvalue: 148.88

Smallest singular value: 148.88