Convergence theorems in multinomial saturated and logistic models
In this paper, we develop a theoretical study about the logistic and saturated multinomial models when the response variable takes one of R ≥ 2 levels. Several theorems on the existence and calculations of the maximum likelihood (ML) estimates of the parameters of both models are presented and demon...
- Autores:
-
Orozco-Acosta, Erick
Llinás-Solano, Humberto
Fonseca-Rodríguez, Javier
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad Simón Bolívar
- Repositorio:
- Repositorio Digital USB
- Idioma:
- eng
- OAI Identifier:
- oai:bonga.unisimon.edu.co:20.500.12442/6233
- Acceso en línea:
- https://hdl.handle.net/20.500.12442/6233
http://dx.doi.org/10.15446/rce.v43n2.79151
https://revistas.unal.edu.co/index.php/estad/article/view/79151
- Palabra clave:
- Multinomial logit model
Saturated model
Logistic regression
Maximum likelihood estimator
Score vector
Fisher information matrix
Modelo logístico multinomial
Modelo saturado
Regresión logística
Estimador de máxima verosimilitud
Vector score
Matriz de información de Fisher
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 Internacional