1. KL-optimal experimental design for discriminating between two growth models applied to a beef farm.
- Author
-
Campos-Barreiro S and López-Fidalgo J
- Subjects
- Animals, Computer Simulation, Red Meat, Reproducibility of Results, Research Design, Sensitivity and Specificity, Spain, Aging physiology, Agriculture methods, Algorithms, Body Weight physiology, Cattle growth & development, Models, Biological
- Abstract
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.
- Published
- 2016
- Full Text
- View/download PDF