In this paper some results on the computation of optimal designs for discriminating between nonlinear models are provided. In particular, some typical deviations of the Michaelis-Menten model are considered. A common deviation of this pharmacokinetic model consists on adding a linear term. If two linear models differ in one parameter the T-optimal design for discriminating between them is c-optimal for estimating the added linear term. This is not the case for nonlinear models.
Optimal designs for discriminating between some extentions of the Michaelis-Menten model / J. Lopez-Fidalgo, C. Tommasi, P.C. Trandafir. - In: JOURNAL OF STATISTICAL PLANNING AND INFERENCE. - ISSN 0378-3758. - 138:12(2008), pp. 3797-3804.
Optimal designs for discriminating between some extentions of the Michaelis-Menten model
C. TommasiSecondo
;
2008
Abstract
In this paper some results on the computation of optimal designs for discriminating between nonlinear models are provided. In particular, some typical deviations of the Michaelis-Menten model are considered. A common deviation of this pharmacokinetic model consists on adding a linear term. If two linear models differ in one parameter the T-optimal design for discriminating between them is c-optimal for estimating the added linear term. This is not the case for nonlinear models.Pubblicazioni consigliate
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