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Sequential Designs for Binary Data with the Purpose to Maximize the Probability of Response
Stockholm University, Faculty of Social Sciences, Department of Statistics.
2008 (English)In: Communications in Statistics: Simulation and Computation, ISSN 0361-0918, Vol. 37, no 6, 1219-1238 p.Article in journal (Refereed) Published
Abstract [en]

Two kinds of sequential designs are proposed for finding the point that maximizes the probability of response assuming a binary response variable and a quadratic logistic regression model. One is a parametric optimal design approach and the other one is a nonparametric stochastic approximation approach. The suggested sequential designs are evaluated and compared in a simulation study. In summary the parametric approach performed very well whereas its competitor failed in some cases.

Place, publisher, year, edition, pages
2008. Vol. 37, no 6, 1219-1238 p.
Keyword [en]
c-optimal design; Quadratic logistic model; Response Surface Methodology; Sequential Design; Stochastic approximation
Identifiers
URN: urn:nbn:se:su:diva-14372DOI: doi:10.1080/03610910802049458ISI: 000257078200013OAI: oai:DiVA.org:su-14372DiVA: diva2:180892
Available from: 2008-09-08 Created: 2008-09-08 Last updated: 2011-01-10Bibliographically approved

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Publisher's full texthttp://dx.doi.org/10.1080/03610910802049458

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