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Robust Designs For Binary Data: Applications Of Simulated Annealing

Record type: Monograph (Working Paper)

When the aim of an experiment is the estimation of a Generalised Linear Model (GLM), standard designs
from linear model theory may prove inadequate. This paper describes a flexible approach for finding
designs for experiments to estimate GLMs through the use of D-optimality and a simulated annealing
algorithm. A variety of uncertainties in the model can be incorporated into the design search, including
the form of the linear predictor, through use of a robust design selection criterion and a postulated
model space. New methods appropriate for screening experiments and the incorporation of correlations
between possible model parameters are described through examples. An updating formula for Doptimality
under a GLM is presented which improves the computational efficiency of the search.

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Citation

Woods, D. C. (2008) Robust Designs For Binary Data: Applications Of Simulated Annealing , Southampton, UK Southampton Statistical Sciences Research Institute 15pp. (S3RI Methodology Working Papers, M08/03).

More information

Published date: 9 May 2008

Identifiers

Local EPrints ID: 51200
URI: http://eprints.soton.ac.uk/id/eprint/51200
PURE UUID: 25b18796-4cab-48aa-a7ee-013e36eed8e6

Catalogue record

Date deposited: 09 May 2008
Last modified: 17 Jul 2017 14:49

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