Modelos GAMLSS aplicados en el tratamiento de residuos agroindustriales
GAMLSS models applied in the treatment of agro-industrial waste1
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Abstract (en)
In this paper, we present an application of GAMLSS (Generalized Additive Models for Location, Shape and Scale) to study bacterial cellulose production from agro-industrial waste. An experiment was conducted to research the effects of pH and cultivation time on bacterial cellulose yield obtained from discarded bananas. Several models were fitted to the collected data to determine an estimated expression for the mean and variance of bacterial cellulose yield. We found that the mean and variance of cellulose yield decrease as pH increases, while the opposite occurs as cultivation time increases.
Abstract (es)
En este artículo se presenta una aplicación de los modelos GAMLSS (Generalized Additive Models for Location, Shape and Scale) para estudiar la producción de celulosa bacteriana a partir de residuos agroindustriales. El experimento fue realizado para investigar los efectos del pH y el tiempo de cultivo sobre el rendimiento de celulosa bacteriana obtenida a partir de residuos de banano. Varios modelos fueron ajustados a los datos recolectados para determinar expresiones estimadas para la media y la varianza del rendimiento de celulosa bacteriana. Del mejor modelo obtenido se encontró que la media y la varianza del rendimiento de celulosa bacteriana disminuye a medida que el pH se incrementa, mientras al aumentar el tiempo de cultivo tanto la media como la varianza aumentan.
References
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Castro, C., Zuluaga, R., Alvarez, C., Putaux, J.-L., Caro, G., Rojas, O. J., Mondragón, I. & Gañan, P. (2012), ‘Bacterial cellulose produced by a new acid-resistant strain of gluconacetobacter genus’, Carbohydrate Polymers 89(4), 1033 – 1037.
Jaramillo, L., Perna, M., Benito-Revollo, A., Arrieta, M. & Escamilla, E. (2013), ‘Efecto de diferentes concentraciones de fructosa sobre la producción de celulosa bacteriana en cultivo estático’, Rev. Colombiana Cienc. Anim. 5(1), 116–130.
Rigby, B. & Stasinopoulos, M. (2010), ‘Instructions on how to use the gamlss
package in R’. *http://gamlss.org/images/stories/papers/gamlss-manual.pdf
Rigby, R. & Stasinopoulos, D. (2005), ‘Generalized additive models for location,
scale and shape’, Applied Statistics 54(3), 507–554.
Stasinopoulos, D. & Rigby, R. (2007), ‘Generalized additive models for location, scale and shape (GAMLSS) in R’, Journal of Statistical Software 23(7), 1–46.
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