Finds: A training package to assess forensic fibre evidence

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2313, Issue , 2002, Pages 420-429

  Puch, Roberto O ^a   Smith, Jim Q ^a  

^a UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; COST EFFECTIVENESS; DECISION MAKING; FIBERS; KNOWLEDGE BASED SYSTEMS;

DECISION MAKING UNDER UNCERTAINTY; FORENSIC SCIENTISTS; KNOWLEDGE BASE SYSTEM; LAW FIRM; PRE-ASSESSMENT; TRAINING PACKAGES; TRAINING SYSTEMS; UNCERTAIN REASONING;

FORENSIC SCIENCE;

EID: 84942865015     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-46016-0_44     Document Type: Conference Paper

References (8)

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3. Dawid AP (2001) “Bayes theorem and weighing evidence by juries”. Research Report No. 219, Department of statistical science. University Colledge London. London. UK.
4. Dawid AP (1998) “Modelling issues in forensic inference”. In 1997 ASA proceedings, section on Bayesian statistics, 182-186.
5. Dawid AP and IW Evett (1997) “Using a graphical method to assist the evaluation of complicated patterns of evidence”, J Forensic Sei: 42(2): 226-231
6. Dawid AP, J Mortera (1996) “Coherent analysis of forensic identification evidence”, J Royal Statistical Society Series B: 58:425-443.
7. Jensen FV (2001) “Bayesian networks and decision graphs”. Springer-Verlag, New York.
8. Salter MT, R Cook (1996) “Transfer of fibres to head hair, their persistence and retrieval”, Forensic Science International: 81:211-221.