Methods for Increasing the Number of Experimental Points on a D-Optimal Design
The purpose of the optimum designs is to determine the optimal experimental conditions in terms of minimum variance of the estimated vector of parameters, so that statistical inferences can be generated as accurate as possible. This theory presupposes kno
- Autores:
-
Argumedo Galván, Sindi
López Ríos, Víctor Ignacio
- Tipo de recurso:
- Fecha de publicación:
- 2014
- Institución:
- Universidad EAFIT
- Repositorio:
- Repositorio EAFIT
- Idioma:
- spa
- OAI Identifier:
- oai:repository.eafit.edu.co:10784/14404
- Acceso en línea:
- http://hdl.handle.net/10784/14404
- Palabra clave:
- Criteria Of Optimality
D-Optimality
Sensitivity Function
Non-Linear Models
Lack-Of-Fit Test
Criterios De Optimización
D-Optimización
Función De Sensibilidad
Modelos No Lineales
Prueba De Falta De Ajuste
- Rights
- License
- Copyright (c) 2014 Sindi Argumedo Galván, Víctor Ignacio López Ríos
| Summary: | The purpose of the optimum designs is to determine the optimal experimental conditions in terms of minimum variance of the estimated vector of parameters, so that statistical inferences can be generated as accurate as possible. This theory presupposes kno |
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