Generalized Additive Models to Optimize the Hydrophobicity Process of Kaolinite
The wide industrial use of kaolinite requires that the extraction processes be modeled to determine the appropriate conditions of the benefit. Although classic linear regression models have been used, these have not been appropriate due to the non-compliance with normal distribution for the response...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2023
- Institución:
- Universidad Pedagógica y Tecnológica de Colombia
- Repositorio:
- RiUPTC: Repositorio Institucional UPTC
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.uptc.edu.co:001/15360
- Acceso en línea:
- https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/14424
https://repositorio.uptc.edu.co/handle/001/15360
- Palabra clave:
- Caolinita
hidrofobicidad
modelos aditivos
modelos de regresión
potencial zeta
additive models, hydrophobicity, kaolinite, regression models, zeta potential
- Rights
- License
- http://purl.org/coar/access_right/c_abf2