The evaluation of evidence for microspectrophotometry data using functional data analysis.
Evidence evaluation
Functional data analysis
Likelihood ratio
Microspectrophotometry
Journal
Forensic science international
ISSN: 1872-6283
Titre abrégé: Forensic Sci Int
Pays: Ireland
ID NLM: 7902034
Informations de publication
Date de publication:
Dec 2019
Dec 2019
Historique:
received:
06
07
2019
revised:
01
10
2019
accepted:
21
10
2019
pubmed:
23
11
2019
medline:
23
11
2019
entrez:
23
11
2019
Statut:
ppublish
Résumé
Microspectrophotometry data arise in the study of many forensically applicable situations. The situations here are those of ink and fibres. In a criminal investigation, data associated with a crime scene are compared with data associated with a person of interest. Methods based on the likelihood ratio are often used to evaluate such evidence. A technique known as functional data analysis for determining likelihood ratios using the full spectrum is described. It provides support comparing a proposition of common source with a proposition of different sources for data from the crime scene and from the person of interest. Data are available from ink, woollen and cotton fibres. The effectiveness of the method is assessed using false positive and false negative rates and Tippett plots in the comparison of data from known sources.
Identifiants
pubmed: 31756683
pii: S0379-0738(19)30419-0
doi: 10.1016/j.forsciint.2019.110007
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
110007Informations de copyright
Copyright © 2019 Elsevier B.V. All rights reserved.