Likelihood ratio model for classification of forensic evidence

Analytica Chimica Acta

Volumn 642, Issue 1-2, 2009, Pages 266-278

  Zadora, G ^a   Neocleous, T ^b  

^a INSTITUTE OF FORENSIC RESEARCH   (Poland)

^b UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

Evidence evaluation; Forensic sciences; Glass; Graphical models; Likelihood ratio; Multivariate physico chemical data

Indexed keywords

EVIDENCE EVALUATION; FORENSIC SCIENCES; GRAPHICAL MODELS; LIKELIHOOD RATIO; MULTIVARIATE PHYSICO-CHEMICAL DATA;

CHEMICAL ANALYSIS; ELECTRIC REACTORS; GRAPHIC METHODS; MAXIMUM LIKELIHOOD ESTIMATION; NORMAL DISTRIBUTION; REFRACTIVE INDEX; REFRACTOMETERS; SCANNING ELECTRON MICROSCOPY; SPEECH RECOGNITION; WINDOWS;

GLASS;

GLASS;

ARTICLE; FORENSIC SCIENCE; KERNEL METHOD; LEGAL EVIDENCE; MULTIVARIATE ANALYSIS; PRIORITY JOURNAL; SCANNING ELECTRON MICROSCOPY; STATISTICAL MODEL; X RAY SPECTROMETRY;

EID: 67349213564     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2008.12.013     Document Type: Article

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