biogeme 3.2.6 [2020-06-02]

Python package

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Michel Bierlaire, Transport and Mobility Laboratory, Ecole Polytechnique Fédérale de Lausanne (EPFL)

This file has automatically been generated on 2020-06-02 10:58:19.613552

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: 01logitBis.html
Database name: swissmetro
Example of a logit model with three alternatives: Train, Car and Swissmetro. Same as 01logit, using bioLinearUtility, and introducing some options and features.

Estimation report

Number of estimated parameters: 4
Sample size: 6768
Excluded observations: 3960
Init log likelihood: -6964.663
Final log likelihood: -5331.252
Likelihood ratio test for the init. model: 3266.822
Rho-square for the init. model: 0.235
Rho-square-bar for the init. model: 0.234
Akaike Information Criterion: 10670.5
Bayesian Information Criterion: 10697.78
Final gradient norm: 3.3915E-02
Bootstrapping time: 0:00:32.699642
Nbr of threads: 2
Algorithm: Newton with trust region for simple bound constraints
Proportion analytical hessian: 100.0%
Relative projected gradient: 4.686846e-06
Number of iterations: 9
Number of function evaluations: 18
Number of gradient evaluations: 4
Number of hessian evaluations: 4
Cause of termination: Relative gradient = 4.7e-06 <= 6.1e-06
Stochastic Newton iterations: 3
Optimization time: 0:00:00.303341

Estimated parameters

NameValueStd errt-testp-valueRob. Std errRob. t-testRob. p-valueBootstrap[100] Std errBootstrap t-testBootstrap p-value

Correlation of coefficients

Coefficient1Coefficient2CovarianceCorrelationt-testp-valueRob. cov.Rob. corr.Rob. t-testRob. p-valueBoot. cov.Boot. corr.Boot. t-testBoot. p-value

Smallest eigenvalue: 159.084

Largest eigenvalue: 1469.55

Condition number: 9.23759