Optimal designs for smoothing splines

dc.contributor.authorDette, Holger
dc.contributor.authorMelas, Viatcheslav B.
dc.contributor.authorPepelyshev, Andrey
dc.date.accessioned2007-09-05T12:37:20Z
dc.date.available2007-09-05T12:37:20Z
dc.date.issued2007-09-05T12:37:20Z
dc.description.abstractIn the common nonparametric regression model we consider the problem of constructing optimal designs, if the unknown curve is estimated by a smoothing spline. A new basis for the space of natural splines is derived, and the local minimax property for these splines is used to derive two optimality criteria for the construction of optimal designs. The first criterion determines the design for a most precise estimation of the coefficients in the spline representation and corresponds to D-optimality, while the second criterion is the G-criterion and corresponds to an accurate prediction of the curve. Several properties of the optimal designs are derived. In general D- and G-optimal designs are not equivalent. Optimal designs are determined numerically and compared with the uniform design. AMS Subject Classification: Primary 62K05; Secondary: 65D10en
dc.identifier.urihttp://hdl.handle.net/2003/24710
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-206
dc.language.isoende
dc.subjectD- and G-optimal designsen
dc.subjectNonparametric regressionen
dc.subjectSaturated designsen
dc.subjectSmoothing splineen
dc.subject.ddc004
dc.titleOptimal designs for smoothing splinesen
dc.typeTextde
dc.type.publicationtypereporten
dcterms.accessRightsopen access

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