A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
The paper systematically describes special regression methods – discrete choice models – known as probability models. The meaning of models and their methodological characteristics are described, as well as different types of models, especially binary-choice models and censored regression models. We considered three most commonly used approaches to estimating such models – logit, probit and tobit model.
The paper systematically describes special regression methods – discrete choice models – known as probability models. The meaning of models and their methodological characteristics are described, as well as different types of models, especially binary-choice models and censored regression models. We considered three most commonly used approaches to estimating such models – logit, probit and tobit model.
Discrete choice models
Boštjan Kerbler (author)
2006
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
Reverse discrete choice models
| Online Contents | 1999
Analytical structure of discrete choice models
| Online Contents | 1992
Dynamic Discrete Choice Models for Transportation
| Online Contents | 2011
Dynamic Discrete Choice Models for Transportation
| Taylor & Francis Verlag | 2011
Bias in discrete choice models estimates
| British Library Conference Proceedings | 1999