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...

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Opis bibliograficzny

Główni autorzy:	Usuga Manco, Liliana María, Hernández Barajas, Freddy, Usuga Manco, Olga
Format:	Online
Język:	spa
Wydane:	Universidad Pedagógica y Tecnológica de Colombia 2023
Hasła przedmiotowe:	Caolinita hidrofobicidad modelos aditivos modelos de regresión potencial zeta additive models, hydrophobicity, kaolinite, regression models, zeta potential
Dostęp online:	https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/14424