Un método para determinar observaciones influyentes en la SCE al ajustar modelos de diseños factoriales
This paper presents the generalization of the Qi statistics and the criterion to identify influential observations for the SCE when a linear model Y = Xβ +e of incomplete rank is fitted using factorial design. Throughout the residual analysis, the later statistics is generalised under the classic assu...
- Autores:
-
Ubaque Lopez, Blanca Cecilia
Rincón Suárez, Luis Francisco
- Tipo de recurso:
- Fecha de publicación:
- 2011
- Institución:
- Universidad Santo Tomás
- Repositorio:
- Repositorio Institucional USTA
- Idioma:
- spa
- OAI Identifier:
- oai:repository.usta.edu.co:11634/39568
- Acceso en línea:
- https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/58
http://hdl.handle.net/11634/39568
- Palabra clave:
- Diseño de experimentos
modelo de diseño factorial
suma de cuadrados residual
observaciones influyentes en la SCE
- Rights
- License
- http://purl.org/coar/access_right/c_abf2
| Summary: | This paper presents the generalization of the Qi statistics and the criterion to identify influential observations for the SCE when a linear model Y = Xβ +e of incomplete rank is fitted using factorial design. Throughout the residual analysis, the later statistics is generalised under the classic assumption ei ∼ N(0;σ2) y Cov(ei,ej) = 0 si i 6= j). |
|---|