Authors: Biedermann, Stefanie
Dette, Holger
Pepelyshev, Andrey
Title: Some Robust Design Strategies for Percentile Estimation in Binary Response Models
Language (ISO): en
Subject Headings: For the problem of percentile estimation of a quantal response curve, we determine multi-objective designs which are robust with respect to misspecifications of the model assumptions. We propose a maximin approach based on efficiencies and provide designs that are simultaneously efficient with respect to the particular choice of various parameter regions and link functions. Furthermore, we deal with the problems of designing model and percentile robust experiments and give various examples of such designs, which are calculated numerically.
binary response model
robust optimal design
c-efficiency
percentile estimation
multi-objective designs
URI: http://hdl.handle.net/2003/4890
http://dx.doi.org/10.17877/DE290R-16156
Issue Date: 2004
Provenance: Universitätsbibliothek Dortmund
Appears in Collections:Sonderforschungsbereich (SFB) 475

Files in This Item:
File Description SizeFormat 
19_04.pdfDNB186.81 kBAdobe PDFView/Open
tr19-04.ps344.8 kBPostscriptView/Open


This item is protected by original copyright



All resources in the repository are protected by copyright.