Accounting for Model Selection Uncertainty: Model Averaging of Prevalence and Force of Infection Using Fractional Polynomials
In most applications in statistics the true model underlying data generation mechanisms is unknown and researchers are confronted with the critical issue of model selection uncertainty. Often this uncertainty is ignored and the model with the best goodness-of-fit is assumed as the data generating mo...
- Autores:
-
Castañeda, Javier
Aerts, Marc
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2015
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/66547
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/66547
http://bdigital.unal.edu.co/67575/
- Palabra clave:
- 51 Matemáticas / Mathematics
31 Colecciones de estadística general / Statistics
Bias
Mean Squared Error
Multimodel Estimation
Seroprevalence
Error cuadrado medio
Estimación multi-modelo
Seroprevalencia
Sesgo
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional