biogeme 3.1.0 [October 1, 2018]

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

This file has automatically been generated on 2018-12-27 16:19:16.613761

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:	08boxcox.html
Database name:	swissmetro

Estimation report

Number of estimated parameters:	5
Sample size:	6768
Excluded observations:	3960
Init log likelihood:	-6964.663
Final log likelihood:	-5292.095
Likelihood ratio test for the init. model:	3345.135
Rho-square for the init. model:	0.24
Rho-square-bar for the init. model:	0.239
Akaike Information Criterion:	10594.19
Bayesian Information Criterion:	10628.29
Final gradient norm:	2.8197E-02
Diagnostic:	b'CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL'
Database readings:	15
Iterations:	14
Data processing time:	0:00:00.000006
Optimization time:	0:00:00.164615
Nbr of threads:	8

Estimated parameters

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

Name	Value	Std err	t-test	p-value	Rob. Std err	Rob. t-test	Rob. p-value
ASC_CAR	-0.00465	0.0471	-0.0988	0.921	0.048	-0.0969	0.923
ASC_TRAIN	-0.485	0.0614	-7.91	2.66e-15	0.0644	-7.53	5e-14
B_COST	-1.08	0.052	-20.7	0	0.068	-15.9	0
B_TIME	-1.67	0.0744	-22.5	0	0.0766	-21.9	0
LAMBDA	0.51	0.0519	9.83	0	0.0773	6.6	4.17e-11

Correlation of coefficients

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

Coefficient1	Coefficient2	Covariance	Correlation	t-test	p-value	Rob. cov.	Rob. corr.	Rob. t-test	Rob. p-value
ASC_TRAIN	ASC_CAR	0.00188	0.651	-10.2	0	0.00218	0.705	-10.5	0
B_COST	ASC_CAR	0.000481	0.197	-17.1	0	0.000436	0.133	-13.8	0
B_COST	ASC_TRAIN	2.88e-06	0.000904	-7.38	1.56e-13	-0.000245	-0.056	-6.17	6.98e-10
B_TIME	ASC_CAR	-0.00231	-0.661	-15	0	-0.00245	-0.668	-14.6	0
B_TIME	ASC_TRAIN	-0.00357	-0.782	-9.28	0	-0.00387	-0.786	-8.93	0
B_TIME	B_COST	0.000575	0.149	-7.08	1.43e-12	0.00131	0.251	-6.72	1.81e-11
LAMBDA	ASC_CAR	-0.000543	-0.222	6.65	2.97e-11	0.000428	0.115	5.97	2.33e-09
LAMBDA	ASC_TRAIN	-0.000715	-0.224	11.2	0	0.00116	0.233	11.3	0
LAMBDA	B_COST	-0.000157	-0.0582	21	0	-0.000985	-0.187	14.2	0
LAMBDA	B_TIME	0.00142	0.367	29.7	0	-0.000704	-0.119	19	0

Smallest eigenvalue: 100.766

Smallest singular value: 100.766