The University of Southampton
University of Southampton Institutional Repository

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), pp. 721-730.

Record type: Article


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.

PDF 151269.pdf - Version of Record
Restricted to Repository staff only
Download (584kB)

More information

Published date: April 2009
Keywords: clustering, locally optimal design, log-linear models, robust design
Organisations: Southampton Statistical Research Inst.


Local EPrints ID: 151269
ISSN: 1017-0405
PURE UUID: bcd75157-ed34-40ba-9d2a-457cb13876a3

Catalogue record

Date deposited: 10 May 2010 10:29
Last modified: 18 Jul 2017 12:56

Export record


Author: K.G. Russell
Author: D.C. Woods
Author: S.M. Lewis
Author: J.A. Eccleston

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.