Linked Life Data

21198625

Source:http://linkedlifedata.com/resource/pubmed/id/21198625

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2011-1-4
pubmed:abstractText
A novel Bayesian methodology has been developed to quantitatively assess handwriting evidence by means of a likelihood ratio (LR) designed for multivariate data. This methodology is presented and its applicability is shown through a simulated case of a threatening anonymous text where a suspect is apprehended. The shape of handwritten characters a, d, o, and q of the threatening text was compared with characters of the true writer, and then with two other writers, one with similar and one with dissimilar characters shape compared to the true writer. In each of these three situations, 100 draws of characters were made and the resulting distributions of LR were established to consider the natural handwriting variation. LR values supported the correct hypothesis in every case. This original Bayesian methodology provides a coherent and rigorous tool for the assessment of handwriting evidence, contributing undoubtedly to integrate the field of handwriting examination into science.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
1556-4029
pubmed:author
pubmed:copyrightInfo
© 2010 American Academy of Forensic Sciences.
pubmed:issnType
Electronic
pubmed:volume
56 Suppl 1
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
S238-42
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
Handwriting evidence evaluation based on the shape of characters: application of multivariate likelihood ratios.
pubmed:affiliation
Institut de Police Scientifique, University of Lausanne, Switzerland.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't