主管:中华人民共和国司法部
主办:司法鉴定科学研究院
ISSN 1671-2072  CN 31-1863/N

中国司法鉴定 ›› 2012 ›› Issue (4): 37-62.

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  • 收稿日期:2012-06-20 出版日期:2012-07-15 发布日期:2022-07-18

LR models for evidence evaluation

Annabel Bolck , Reinoud D. Stoel, Ivo Alberink & Marjan Sjerps   

  1. Netherlands Forensic Institute , Department of Forensic Science , Interdisciplinary investigations , Statistics and Knowledge Management, The Hague, The Netherlands
  • Received:2012-06-20 Published:2012-07-15 Online:2022-07-18
  • About author:Annabel Bolck, Female, Scientist Forensic Statistics at the Netherlands Forensic Institute, PhD in chemometries. Research Filed: Forensic Statistics.

Abstract:

This paper describes how Likelihood Ratios (LRs) can be used to measure the strength of evidence in forensic science. It explains why forensic experts cannot answer ultimate questions such as: "Who did it?", but can instead provide measures of the strength of evidence. This is followed by a short state of the art overview of currently developed LR models including a description of problems that are not yet completely solved.

Key words: Lidekihood Ratio, evaluation of evidence, LR model

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