Evaluation of evidence value of glass fragments by likelihood ratio and Bayesian Network approaches

Analytica Chimica Acta

Volumn 642, Issue 1-2, 2009, Pages 279-290

  Zadora, G ^a  

^a INSTITUTE OF FORENSIC RESEARCH   (Poland)

Author keywords

Bayesian Networks; Evidence evaluation; Forensic sciences; Glass; Likelihood ratio; Physico chemical data

Indexed keywords

ANNEALING PROCESS; BAYESIAN NETWORK (BNS); CAR WINDOWS; CLASSIFICATION ,; CONTROL SAMPLES; EVIDENCE EVALUATION; FORENSIC SCIENCES; GLASS FRAGMENTS; GLASS SAMPLES; LIKELIHOOD RATIO; PHYSICO-CHEMICAL DATA; REFRACTIVE INDEX MEASUREMENTS; TYPE CATEGORIES;

APPLICATIONS; DISTRIBUTED PARAMETER NETWORKS; GLASS; INFERENCE ENGINES; INTELLIGENT NETWORKS; LAW ENFORCEMENT; LIGHT REFRACTION; MAXIMUM LIKELIHOOD ESTIMATION; REFRACTIVE INDEX; REFRACTOMETERS; SPEECH ANALYSIS; SPEECH RECOGNITION; WINDOWS;

BAYESIAN NETWORKS;

GLASS;

ARTICLE; BAYES THEOREM; FORENSIC SCIENCE; GLASS REFRACTIVE INDEX MEASUREMENT TECHNIQUE; LEGAL EVIDENCE; PHYSICAL CHEMISTRY; PRIORITY JOURNAL; SCORING SYSTEM; STATISTICAL MODEL;

EID: 67349114417     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2008.10.005     Document Type: Article

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