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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Description/Abstract
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.
| Item Type: | Article |
|---|---|
| ISSNs: | 1017-0405 (print) |
| Related URLs: | |
| 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 |
| Item ID: | 151269 |
| 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) |
| Date: | April 2009 |
| Status: | Published |
| URI: | http://eprints.soton.ac.uk/id/eprint/151269 |
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