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Optimal Designs for Discriminating Between some Extensions of the Michaelis-Menten Model

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Author Info
Jesus Lopez Fidalgo (University of Salamanca)
Chiara Tommasi (University of Milano)
Camelia Trandafir (University of Salamanca)
Abstract

In this paper some results on the problem of computing optimal designs for discriminating between rival models are provided. Using T-optimality for two rival models a compound criterion is developed to discriminate between more than two models. Surprising results arise when T-optimal designs are compared with classical c-optimal designs for nonlinear models. In particular, some practical deviations of the Michaelis-Menten model are considered in order to measure and compare efficiencies of different designs.

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Paper provided by Universitá degli Studi di Milano in its series UNIMI - Research Papers in Economics, Business, and Statistics with number 1003.

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Date of creation: 29 Apr 2005
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Handle: RePEc:bep:unimip:1003

Note: oai:cdlib1:unimi-1003
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Related research
Keywords: Optimal design; compound designs; pharmacokinetic models; T-optimality;

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