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An Evaluation of Score-Based Likelihood Ratios (SLRs) for Glass Data

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  • Title:
    An Evaluation of Score-Based Likelihood Ratios (SLRs) for Glass Data
  • Author: Veneri, Federico A ; Ommen, Danica
  • Subjects: Forensic Science and Technology
  • Description: Background: LR are advocated as a way to provide numeric assessment of the evidential strength during expert's testimony. Researchers can implement SLR as way to reduce a complex model into a lower dimensional metric and avoid distributional assumptions1. Objective: Using simulated data to i) compare the discriminative power of SLR. ii) Compare their behavior w.r.t. to LR. iii) Assess the dependence on training data. Data: Simulated datasets2 based on glass data3. In each set: 10 sources with 5 fragment each and 3 features. Pairwise comparisons between fragments create a database of 100 KM and 1125 KNM.
  • Publisher: Iowa State University Digital Repository
  • Creation Date: 2021
  • Language: English
  • Source: Iowa State Digital Repository
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