Empirical identification in the mixed logit model: analysing the effect of data richness

E Cherchi, J de Dios Ortúzar - Networks and Spatial Economics, 2008 - Springer
The flexible structure of the mixed logit (ML) model is at the root of the difficulties associated
to its estimation. Major problems are parameter identification and the distinction between …
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[引用][C] Empirical identification in the mixed Logit model: analysing the effect of data richness

E Cherchi, J de Dios Ortúzar - Networks and Spatial Economics, 2008 - orbit.dtu.dk
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[引用][C] Empirical identification in the mixed Logit model: analysing the effect of data richness

E Cherchi, O Jded - 2006 - iris.unica.it
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[引用][C] Empirical Identification in the Mixed Logit Model: Analysing the Effect of Data Richness

E Cherchi, JD Ortúzar - Networks and Spatial Economics, 2008 - ideas.repec.org
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Empirical Identification in the Mixed Logit Model: Analysing the Effect of Data Richness

E Cherchi, J de Dios Ortúzar - Networks and Spatial …, 2008 - search.proquest.com
The flexible structure of the mixed logit (ML) model is at the root of the difficulties associated
to its estimation. Major problems are parameter identification and the distinction between …
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[PDF][PDF] Empirical Identification in the Mixed Logit Model: Analysing the Effect of Data Richness

E Cherchi, J de Dios Ortúzar - 2007 - academia.edu
The flexible structure of the mixed logit (ML) model is at the root of the difficulties associated
to its estimation. Major problems are parameter identification and the distinction between …

[引用][C] Empirical Identification in the Mixed Logit Model: Analysing the Effect of Data Richness

E Cherchi, JD Ortúzar - Networks and Spatial Economics, 2008 - econpapers.repec.org
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Empirical Identification in the Mixed Logit Model: Analysing the Effect of Data Richness

E Cherchi, JD Ortúzar - Networks and Spatial Economics, 2008 - infona.pl
The flexible structure of the mixed logit (ML) model is at the root of the difficulties associated
to its estimation. Major problems are parameter identification and the distinction between …

[引用][C] Empirical identification in the mixed logit model: analysing the effect of data richness

E Cherchi, S Ortuzar, J Dios - Networks and Spatial Economics, 2008 - trid.trb.org
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Empirical Identification in the Mixed Logit Model: Analysing the Effect of Data Richness.

E Cherchi, J Dios Ortúzar - Networks & Spatial Economics, 2008 - search.ebscohost.com
The flexible structure of the mixed logit (ML) model is at the root of the difficulties associated
to its estimation. Major problems are parameter identification and the distinction between …