Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Biedermann, Stefanie | de |
dc.contributor.author | Dette, Holger | de |
dc.contributor.author | Woods, David C. | de |
dc.date.accessioned | 2009-10-29T10:25:46Z | - |
dc.date.available | 2009-10-29T10:25:46Z | - |
dc.date.issued | 2009-09-24 | de |
dc.identifier.uri | http://hdl.handle.net/2003/26498 | - |
dc.identifier.uri | http://dx.doi.org/10.17877/DE290R-812 | - |
dc.description.abstract | In this paper, we investigate optimal designs for multivariate additive spline regression models. We assume that the knot locations are unknown, so must be estimated from the data. In this situation, the Fisher information for the full parameter vector depends on the unknown knot locations, resulting in a non-linear design problem. We show that locally, Bayesian and maximin D-optimal designs can be found as the products of the optimal designs in one dimension. A similar result is proven for Q-optimality in the class of all product designs. | en |
dc.language.iso | en | de |
dc.relation.ispartofseries | Discussion Paper / SFB 823; 26/2009 | de |
dc.subject | additive spline model | en |
dc.subject | Bayesian D-optimality | en |
dc.subject | maximin D-optimality | en |
dc.subject | product designs | en |
dc.subject | Q-optimality | en |
dc.subject.ddc | 310 | de |
dc.subject.ddc | 330 | de |
dc.subject.ddc | 620 | de |
dc.title | Optimal designs for multivariable spline models | en |
dc.type | Text | de |
dc.type.publicationtype | report | de |
dcterms.accessRights | open access | - |
Appears in Collections: | Sonderforschungsbereich (SFB) 823 |
This item is protected by original copyright |
This item is protected by original copyright
rightsstatements.org