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                            Library & Multimedia
 Using subsampling to estimate the strength of handwriting evidence via score-based likelihood ratios
NCJ Number
              255520
Journal

*Forensic Science International* Dated: March 10, 2012
Author(s)
          L. J. Davis;
                        C. P. Saunders;
                        A. B. Helper;
                        J. Buscaglia
Date Published

March 2012
Length
              0 pages
Annotation
              This project illustrated one possible approach to estimating a likelihood ratio in comparative handwriting analysis.
Abstract
              The likelihood ratio paradigm has been studied as a means for quantifying the strength of evidence for a variety of forensic evidence types. Although the concept of a likelihood ratio as a comparison of the plausibility of evidence under two propositions (or hypotheses) is straightforward, several issues arise when considering how to go about estimating a likelihood ratio. The novelty of the proposed approach relies on generating simulated writing samples from a collection of writing samples of a known source to form a database for estimating the distribution associated with the numerator of a likelihood ratio. This approach is illustrated using documents collected from 432 writers under controlled conditions. (publisher abstract modified)
      
  
          Additional Details
Grant Number(s)
        2009-DN-BX-K234


  
  
        
  Agencies
        NIJ-Sponsored


  
  
        
  Award
        Quantifying the Effects of Database Size and Sample Quality on Measures of Individualization Validity and Accuracy in Forensics
    
  
  
Date Published: March 1, 2012
    
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