Literature DB >> 23522524

Evidence evaluation for discrete data.

Colin Aitken1, Erica Gold.   

Abstract

Methods for the evaluation of evidence in the form of measurements by means of the likelihood ratio are becoming more widespread. There is a paucity of methods for the evaluation of evidence in the form of counts by means of the likelihood ratio. Two suggestions for such methods are described. Examples of their performance are illustrated in the context of a problem in forensic phonetics. There is discussion of the problems particular to the evaluation of evidence for discrete data, with suggestions for further work.
Copyright © 2013. Published by Elsevier Ireland Ltd.

Year:  2013        PMID: 23522524     DOI: 10.1016/j.forsciint.2013.02.042

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  1 in total

Review 1.  Bayesian Hierarchical Random Effects Models in Forensic Science.

Authors:  Colin G G Aitken
Journal:  Front Genet       Date:  2018-04-16       Impact factor: 4.599

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.