Discovery Projects - Grant ID: DP0342873

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP0342873

Funding Status
Closed

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Funded Activity Summary

New and computationally feasible methods of constructing efficient and exact confidence limits from count data. Biological and health science data is commonly in the form of counts. The statistical analysis of such data should be (a) efficient i.e. it should not, in effect, throw away valuable data, (b) exact i.e. it should have precisely known statistical properties and (c) computationally feasible. Kabaila and Lloyd (1997-2001) have proposed and analysed a radically new method of confidence limit construction which, for the first time, possesses all of these requirements. The purpose of the project is to establish further theoretical support for the new method, to develop efficient computational algorithms and to write easy-to-use computer programs for its practical use.

Funded Activity Details

Start Date: 31-05-2003

End Date: 31-12-2008

Funding Scheme: Discovery Projects

Funding Amount: $155,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Statistics | Applied Statistics | Statistical Theory

ANZSRC Socio-Economic Objective (SEO)

Biological sciences | Physical sciences | Mathematical sciences |

Other Keywords

Applied Statistics | Biological sciences | Mathematical sciences | Physical sciences | Statistical Theory | Statistics

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