New and computationally feasible methods of constructing efficient and exact confidence limits from count data. [ 2003-05-31 - 2008-12-31 ]

Research Grant

Researchers: Dr Chris Lloyd (Chief Investigator) ,  Dr Paul Kabaila (Chief Investigator)

Brief description 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.

Funding Amount $155,000

Funding Scheme Discovery Projects

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