Some robust design strategies for percentile estimation in binary response models

Biedermann, S., Dette, H. and Pepelyshev, Andrey ORCID: https://orcid.org/0000-0001-5634-5559 2006. Some robust design strategies for percentile estimation in binary response models. Canadian Journal of Statistics 34 (4) , pp. 603-622. 10.1002/cjs.5550340404

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Abstract

For the problem of percentile estimation of a quantal response curve, the authors determine multiobjective designs which are robust with respect to misspecifications of the model assumptions. They propose a maximin approach based on efficiencies which leads to designs that are simultaneously efficient with respect to various choices of link functions and parameter regions. Furthermore, the authors deal with the problems of designing model and percentile robust experiments. They give various examples of such designs, which are calculated numerically.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Mathematics
Subjects:	Q Science > QA Mathematics
Uncontrolled Keywords:	Binary response model; c-efficiency; multiobjective design; optimal design; percentile estimation; robustness
Publisher:	Wiley-Blackwell
ISSN:	1708-945X
Last Modified:	24 Oct 2022 11:42
URI:	https://orca.cardiff.ac.uk/id/eprint/49051

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