Detalle Publicación

ARTÍCULO
KL-optimal experimental design for discriminating between two growth models applied to a beef farm
Autores: Campos-Barreiro, S.; López Fidalgo, Jesús Fernando
Título de la revista: MATHEMATICAL BIOSCIENCES AND ENGINEERING
ISSN: 1547-1063
Volumen: 13
Número: 1
Páginas: 67 - 82
Fecha de publicación: 2016
Resumen:
The body mass growth of organisms is usually represented in terms of what is known as ontogenetic growth models, which represent the relation of dependence between the mass of the body and time. The paper is concerned with a problem of finding an optimal experimental design for discriminating between two competing mass growth models applied to a beef farm. T-optimality was first introduced for discrimination between models but in this paper, KL-optimality based on the Kullback-Leibler distance is used to deal with correlated obsevations since, in this case, observations on a particular animal are not independent.