Model Distribution Effects on Likelihood Ratios in Fire Debris Analysis

Model Distribution Effects on Likelihood Ratios in Fire Debris Analysis

Computational models for determining the strength of fire debris evidence based on likelihood ratios (LR) were developed and validated against data sets derived from different distributions of ASTM E1618-14 designated ignitable liquid class and substrate pyrolysis contributions using in-silico gener...

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Bibliographic Details
Main Authors: Alyssa Allen, Mary R. Williams, Nicholas A. Thurn, Michael E. Sigman
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Separations
Subjects:
fire debris analysis
likelihood ratios
evidentiary value
receiver operating characteristic (ROC) analysis
Online Access:http://www.mdpi.com/2297-8739/5/3/44

Internet

http://www.mdpi.com/2297-8739/5/3/44

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