Incorporating Latent Variables into Discrete Choice Models — A Simultaneous Estimation Approach Using SEM Software
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2198-2627
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Incorporating Latent Variables into Discrete Choice Models — A Simultaneous Estimation Approach Using SEM Software ; volume:1 ; number:2 ; day:7 ; month:3 ; year:2014 ; pages:220-237 ; date:12.2008
Business research ; 1, Heft 2 (7.3.2014), 220-237, 12.2008
- Creator
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Temme, Dirk
- Contributor
- DOI
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10.1007/BF03343535
- URN
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urn:nbn:de:1111-2016052046779
- Rights
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:45 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Temme, Dirk
- Paulssen, Marcel
- Dannewald, Till
- SpringerLink (Online service)
Other Objects (12)
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Incorporating Latent Variables into Discrete Choice Models - A Simultaneous Estimation Approach Using SEM Software
Structural modeling of simultaneous discrete choice
Correction to: Beyond SEM: General Latent Variable Modeling
Integrating latent variables in discrete choice models
Global attractivity of a discrete cooperative system incorporating harvesting
Discrete element modelling of granular materials incorporating realistic particle shapes
Labor supply as a discrete choice among latent jobs
Nonparametric Bayesian discrete latent variable models for unsupervised learning
Viral dynamics of an HIV model with latent infection incorporating antiretroviral therapy
Simultaneous equations models for discrete outcomes: Coherence, completeness, and identification
Maximum likelihood estimation for discrete latent variable models via evolutionary algorithms
Regularized Regression Incorporating Network Information: Simultaneous Estimation of Covariate Coefficients and Connection Signs
Incorporating Latent Variables into Discrete Choice Models - A Simultaneous Estimation Approach Using SEM Software
Structural modeling of simultaneous discrete choice
Correction to: Beyond SEM: General Latent Variable Modeling
Integrating latent variables in discrete choice models
Global attractivity of a discrete cooperative system incorporating harvesting
Discrete element modelling of granular materials incorporating realistic particle shapes
Labor supply as a discrete choice among latent jobs
Nonparametric Bayesian discrete latent variable models for unsupervised learning
Viral dynamics of an HIV model with latent infection incorporating antiretroviral therapy
Simultaneous equations models for discrete outcomes: Coherence, completeness, and identification
Maximum likelihood estimation for discrete latent variable models via evolutionary algorithms