Effect of a priori distributions in Bayesian D-optimal designs for a correlated non-linear model
In practice, complications can arise when constructing optimal designs for non-linear regression models. One of the major problems is when the observations are correlated, since they are taken from the same individual, object or experimental unit. When using the D-optimality criterion, it depends bo...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad Pedagógica y Tecnológica de Colombia
- Repositorio:
- RiUPTC: Repositorio Institucional UPTC
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.uptc.edu.co:001/15273
- Acceso en línea:
- https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/9504
https://repositorio.uptc.edu.co/handle/001/15273
- Palabra clave:
- Diseño D-óptimo, Modelos no lineales, Estructura de correlación, Matriz de Información de Fisher, Distribuciones a priori
D-optimal design, non-linear models, correlation structure, Fisher Information Matrix, a priori distributions
- Rights
- License
- http://purl.org/coar/access_right/c_abf2