Some robust design strategies for percentile estimation in binary response models
Biedermann, Stefanie, Dette, Holger and Pepelyshev, Andrey (2006) Some robust design strategies for percentile estimation in binary response models. Canadian Journal of Statistics, 34, (4), 603-622.
For the problem of percentile estimation of a quantal response curve, the authors determine multi-objective designs which are robust with respect to misspecifications of the model assumptions. They 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, the authors deal with the problems of designing model and percentile robust experiments and give various examples of such designs,
which are calculated numerically.
|Keywords:||Binary response model; robust optimal design; c-efficiency; percentile estimation; multi-objective designs|
|Subjects:||Q Science > QA Mathematics
H Social Sciences > HA Statistics
|Divisions:||University Structure - Pre August 2011 > School of Mathematics > Statistics
|Date Deposited:||05 Oct 2006|
|Last Modified:||28 Jun 2012 10:41|
|Contributors:||Biedermann, Stefanie (Author)
Dette, Holger (Author)
Pepelyshev, Andrey (Author)
|Date:||1 December 2006|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
Actions (login required)