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dc.contributor.author Shen, Qiang
dc.contributor.author Hayes, B.
dc.contributor.author Aitken, Colin
dc.contributor.author Jensen, Richard
dc.date.accessioned 2007-12-03T16:21:27Z
dc.date.available 2007-12-03T16:21:27Z
dc.date.issued 2007-08
dc.identifier.citation Shen , Q , Hayes , B , Aitken , C & Jensen , R 2007 , ' The evaluation of evidence for exponentially distributed data ' Computational Statistics & Data Analysis , vol 51 , no. 12 , pp. 5682-5693 . , 10.1016/j.csda.2007.05.026 en
dc.identifier.other PURE: 73187
dc.identifier.other dspace: 2160/381
dc.identifier.uri http://hdl.handle.net/2160/381
dc.description C.G.G. Aitken, Q. Shen, R. Jensen and B. Hayes. The evaluation of evidence for exponentially distributed data. Computational Statistics & Data Analysis, vol. 51, no. 12, pp. 5682-5693, 2007. en
dc.description.abstract At present, likelihood ratios for two-level models are determined with the use of a normal kernel estimation procedure when the between-group distribution is thought to be non-normal. An extension is described here for a two-level model in which the between-group distribution is very positively skewed and an exponential distribution may be thought to represent a good model. The theoretical likelihood ratio is derived. A likelihood ratio based on a biweight kernel with an adaptation at the boundary is developed. The performance of this kernel is compared alongside those of normal kernels and normal and exponential parametric models. A comparison of performance is made for simulated data where results may be compared with those of theory, using the theoretical model, as the true parameter values for the models are known. There is also a comparison for forensic data, using the concentration of aluminium in glass as an exemplar. Performance is assessed by determining the numbers of occasions on which the likelihood ratios for sets of fragments from the same group are supportive of the proposition that they are from different groups and the numbers of occasions on which the likelihood ratios for sets of fragments from different group are supportive of the proposition that they are from the same group. en
dc.format.extent 12 en
dc.language.iso eng
dc.relation.ispartof Computational Statistics & Data Analysis en
dc.title The evaluation of evidence for exponentially distributed data en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.identifier.doi http://dx.doi.org/10.1016/j.csda.2007.05.026
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Advanced Reasoning Group en
dc.description.status Peer reviewed en


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