Chapter

Probability Models in Forensic Science

MIKE REDMAYNE

in Expert Evidence and Criminal Justice

Published in print March 2001 | ISBN: 9780198267805
Published online January 2010 | e-ISBN: 9780191714856 | DOI: http://dx.doi.org/10.1093/acprof:oso/9780198267805.003.0003

Series: Oxford Monographs on Criminal Law and Justice

Probability Models in Forensic Science

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This chapter begins by examining in detail the important role that interpretation plays in forensic science. It suggests two reasons for stressing interpretation: the significance of trace evidence often depends on the information available to the forensic scientist and on the assumptions he brings to his work, and the way the evidence is used in court. It discusses the importance of Bayesianism in forensic science and how it offers insights that classical statistics do not, which make it appear to offer decision-makers more accurate information about the value of scientific evidence. It explains that the use of fingerprint evidence may give absolute identifications. It also explores several probability models in forensic science.

Keywords: probability models; forensic science; trace evidence; Bayesianism; classical statistics; interpretation

Chapter.  10764 words. 

Subjects: Criminal Law

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