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                            Library & Multimedia
 Model Distribution Effects on Likelihood Ratios in Fire Debris Analysis
NCJ Number
              253121
Journal

*Separations* Volume: 5 Issue: 3 Dated: 2018
Author(s)
          Allysa Allen;
                        Mary R. Williams;
                        Nickolas A. Thurn;
                        Michael E. Sigman
Date Published

2018
Length
              24 pages
Annotation
              This project developed 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 generated data.
Abstract
              The models all performed well in cross validation against the distributions used to generate the model; however, a model generated based on data that does not contain representatives from all of the ASTM E1618-14 classes did not perform well in validation with data sets that contain representatives from the missing classes. A quadratic discriminant model based on a balanced data set (ignitable liquid versus substrate pyrolysis), with a uniform distribution of the ASTM E1618-14 classes, performed well (receiver operating characteristic area under the curve of 0.836) when tested against laboratory-developed, casework-relevant samples of known ground truth. (publisher abstract modified)
      
  
          Additional Details
Grant Number(s)
        2015-DN-BX-K051


  
  
        
  Agencies
        NIJ-Sponsored


  
  
        
  Publication Type
        Research (Applied/Empirical)
                                Report (Study/Research)
                                Report (Grant Sponsored)
                                Program/Project Description


  
  
        
  Award
        Substrate Pyrolysis Database Expansion, Evaluation and Use
    
  
  
Date Published: January 1, 2018
    
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