D-optimal designs for Poisson regression models
Russell, K.G., Woods, D.C., Lewis, S.M. and Eccleston, J.A. (2009) D-optimal designs for Poisson regression models. Statistica Sinica, 19, (2), 721-730.
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We consider the problem of finding an optimal design under a Poisson regression model with a log link, any number of independent variables, and an additive linear predictor. Local D-optimality of a class of designs is established through use of a canonical form of the problem and a general equivalence theorem. The results are applied in conjunction with clustering techniques to obtain a fast method of finding designs that are robust to wide ranges of model parameter values. The methods are illustrated through examples.
|Keywords:||clustering, locally optimal design, log-linear models, robust design|
|Subjects:||H Social Sciences > HA Statistics|
|Divisions:||University Structure - Pre August 2011 > Southampton Statistical Sciences Research Institute
|Date Deposited:||10 May 2010 10:29|
|Last Modified:||23 Jul 2012 02:24|
|Contributors:||Russell, K.G. (Author)
Woods, D.C. (Author)
Lewis, S.M. (Author)
Eccleston, J.A. (Author)
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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