Optimal Population Designs for Discrimination Between Two Nested Nonlinear Mixed Effects Models.

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M. E. Castañeda L.
V. I. López-Ríos


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.


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