Designing experiments for binary data using search algorithms


Woods, D. C. and Lewis, S. M. (2005) Designing experiments for binary data using search algorithms In Proceedings of the 55th Session of the International Statistical Institute, Sydney 5-12 April 2005. International Statistical Institute. 4 pp.

Download

[img] PDF isi2005.pdf - Other
Download (89kB)

Description/Abstract

In some experiments in the physical and biological sciences, a binary response is of primary interest and is often described by a generalized linear model. Examples include experiments in food technology and studies in chemistry where the outcome is whether or not a salt is formed in a chemical reaction. For such experiments, designs that are e±cient under the assumption of a linear model may be inadequate for the description and prediction of the response. The generation of designs using a search algorithm is addressed for completely randomized designs when a generalized linear model describes the response. A method of assessing the designs is discussed and illustrated by examples.

Item Type: Conference or Workshop Item (Paper)
ISBNs: 1877040282 (print)
Venue - Dates: 55th Session of the International Statistical Institute, 2005-04-05 - 2005-04-12
Subjects:
Organisations: Statistics
ePrint ID: 15854
Date :
Date Event
12 April 2005Published
Date Deposited: 06 Jun 2005
Last Modified: 16 Apr 2017 23:26
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/15854

Actions (login required)

View Item View Item