Optimal designs for a class of nonlinear regression models

dc.creatorDette, Holger
dc.creatorMelas, Viatcheslav B.
dc.creatorPepelyshev, Andrey
dc.date2005-03-29
dc.date.accessioned2026-07-07T08:06:47Z
dc.date.available2026-07-07T08:06:47Z
dc.descriptionFor a broad class of nonlinear regression models we investigate the local E- and c-optimal design problem. It is demonstrated that in many cases the optimal designs with respect to these optimality criteria are supported at the Chebyshev points, which are the local extrema of the equi-oscillating best approximation of the function f_0\equiv 0 by a normalized linear combination of the regression functions in the corresponding linearized model. The class of models includes rational, logistic and exponential models and for the rational regression models the E- and c-optimal design problem is solved explicitly in many cases.
dc.descriptionPublished at http://dx.doi.org/10.1214/009053604000000382 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/math/0503677
dc.identifierhttp://arxiv.org/abs/math/0503677
dc.identifierAnnals of Statistics 2004, Vol. 32, No. 5, 2142-2167
dc.identifierdoi:10.1214/009053604000000382
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/130725
dc.subjectStatistics Theory
dc.subject62K05, 41A50 (Primary)
dc.titleOptimal designs for a class of nonlinear regression models
dc.typetext

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