Services on Demand
Journal
Article
Indicators
- Cited by SciELO
- Access statistics
Related links
- Cited by Google
- Similars in SciELO
- Similars in Google
Share
Ciencia en Desarrollo
Print version ISSN 0121-7488
Abstract
CASTANEDA L, M. E and LOPEZ-RIOS, V. I. Optimal Population Designs for Discrimination Between Two Nested Nonlinear Mixed Effects Models. Ciencia en Desarrollo [online]. 2016, vol.7, n.1, pp.71-81. ISSN 0121-7488.
Abstract In this paper we consider the problem of finding optimal population designs for discrimination between two nested nonlinear mixed effects models which differ in their intra-individual covariance matrix. The criterion proposed is a generalization of the T-optimality criterion. For this criterion an equivalence theorem is provided. The application of the criterion is illustrated with an example in pharmacokinetic.
Keywords : Optimal Designs; Mixed Effects Model; T-Optimal Designs.