The University of Southampton
University of Southampton Institutional Repository

A comparison of design and model selection methods for supersaturated experiments

Record type: Monograph (Working Paper)

Various design and model selection methods are available for supersatu-
rated designs having more factors than runs but little research is available on
their comparison and evaluation. In this paper, simulated experiments are
used to evaluate the use of E(s2)-optimal and Bayesian D-optimal designs,
and to compare three analysis strategies representing regression, shrinkage
and a novel model-averaging procedure. Suggestions are made for choosing
the values of the tuning constants for each approach. Findings include that
(i) the preferred analysis is via shrinkage; (ii) designs with similar numbers
of runs and factors can be effective for a considerable number of active effects
of only moderate size; and (iii) unbalanced designs can perform well. Some
comments are made on the performance of the design and analysis methods
when effect sparsity does not hold

PDF s3ri-workingpaper-M09-20.pdf - Other
Download (167kB)

Citation

Marley, Christopher J. and Woods, David C. (2009) A comparison of design and model selection methods for supersaturated experiments , Southampton, UK Southampton Statistical Sciences Research Institute 22pp. (S3RI Methodology Working Papers, M09/20).

More information

Submitted date: 4 November 2009
Organisations: Southampton Statistical Research Inst.

Identifiers

Local EPrints ID: 69458
URI: http://eprints.soton.ac.uk/id/eprint/69458
PURE UUID: 47aa2d84-9406-496e-b6bb-5b44950c1809

Catalogue record

Date deposited: 17 Nov 2009
Last modified: 19 Jul 2017 00:12

Export record

Contributors

Author: Christopher J. Marley
Author: David C. Woods

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.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

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.

×