Journal Article10.1039/A707970B
PerspectiveQuantifying uncertainty in qualitative analysis
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TL;DR: It is argued that qualitative analysis can be viewed as a classification problem, that it is at least as important as quantitative analysis and that inferences drawn from qualitative tests should take relevant uncertainties into account.
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Abstract: The feasibility of adopting a consistent approach to the expression of uncertainties relating to identification is discussed. It is argued that qualitative analysis can be viewed as a classification problem, that it is at least as important as quantitative analysis and that inferences drawn from qualitative tests should take relevant uncertainties into account. A brief review of systems of reasoning under uncertainty is presented, and it is concluded that Bayes’ theorem provides the most suitable framework, providing for combination of separate items of evidence and implicitly allowing for both false positive and false negative probabilities in a single parameter. The chemical significance and practical evaluation of relevant probabilities are considered, and the applications and reporting of ‘identification certainty’ figures are discussed.
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References
•Book
Statistics and the Evaluation of Evidence for Forensic Scientists
Colin Aitken,Franco Taroni +1 more
- 01 Jun 1995
TL;DR: In this article, the authors present a review of uncertainty in forensic science, focusing on the evaluation of evidence and its application in the field of forensic science. But they do not discuss the use of DNA profiling.
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A discussion of the robustness of methods for assessing the evidential value of DNA single locus profiles in crime investigations.
Ian W. Evett,Peter Gill +1 more
TL;DR: Three issues relating to the evaluation of DNA single locus probe comparisons in forensic casework are discussed: band shift, database size, and population stratification.
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