Authors: | Dette, Holger Titoff, Stefanie |
Title: | Optimal discrimination designs |
Language (ISO): | en |
Abstract: | We 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: 62K05 |
Subject Headings: | Ds-optimality Model discrimination Nonlinear approximation Optimal design T-optimality |
URI: | http://hdl.handle.net/2003/25869 http://dx.doi.org/10.17877/DE290R-1953 |
Issue Date: | 2008-11-26T14:33:39Z |
Appears in Collections: | Sonderforschungsbereich (SFB) 475 |
Files in This Item:
File | Description | Size | Format | |
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tr06-08-Dette.pdf | DNB | 222.86 kB | Adobe PDF | View/Open |
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