Optimal discrimination designs

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dc.contributor.authorDette, Holger
dc.contributor.authorTitoff, Stefanie
dc.date.accessioned2008-11-26T14:33:39Z
dc.date.available2008-11-26T14:33:39Z
dc.date.issued2008-11-26T14:33:39Z
dc.description.abstractWe consider the problem of constructing optimal designs for model discrimination between competing regression models. Various new properties of optimal designs with respect to the popular T-optimality criterion are derived, which in many circumstances allow an explicit determination of T-optimal designs. It is also demonstrated, that in nested linear models the number of support points of T-optimal designs is usually too small to estimate all parameters in the extended model. In many cases T-optimal designs are usually not unique, and we give a characterization of all T-optimal designs. Finally, T-optimal designs are compared with optimal discriminating designs with respect to alternative criteria by means of a small simulation study. AMS: 62K05en
dc.identifier.urihttp://hdl.handle.net/2003/25869
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-1953
dc.language.isoende
dc.subjectDs-optimalityen
dc.subjectModel discriminationen
dc.subjectNonlinear approximationen
dc.subjectOptimal designen
dc.subjectT-optimalityen
dc.subject.ddc004
dc.titleOptimal discrimination designsen
dc.typeTextde
dc.type.publicationtypereporten
dcterms.accessRightsopen access

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