Generalized Additive Models to Optimize the Hydrophobicity Process of Kaolinite

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...

書誌詳細
主要な著者:	Usuga Manco, Liliana María, Hernández Barajas, Freddy, Usuga Manco, Olga
フォーマット:	Online
言語:	spa
出版事項:	Universidad Pedagógica y Tecnológica de Colombia 2023
主題:	Caolinita hidrofobicidad modelos aditivos modelos de regresión potencial zeta additive models, hydrophobicity, kaolinite, regression models, zeta potential
オンライン･アクセス:	https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/14424

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