Abstract
We present an easy-to-use and freely accessible online application for the analysis of forensic glass fragments. The application is browser based and takes as input .csv or .txt files containing measurements from glass fragments obtained using a scanning electron microscope with an energy-dispersive X-ray (SEM-EDX) spectrometer. The application was developed to (i) classify glass fragments into use-type categories (classification), and (ii) compute the evidential strength of two sets of fragments under competing propositions (evidence evaluation). Detailed examples of how to use the application for both tasks are given, which highlight its user-friendly interface. The suitability of the statistical methods used by the application was checked using simulation studies, and improvements upon previous methods were found in both tasks.
| Original language | English |
|---|---|
| Pages (from-to) | 418-425 |
| Number of pages | 8 |
| Journal | Chemometrics and Intelligent Laboratory Systems |
| Volume | 146 |
| DOIs | |
| Publication status | Published - 15 Aug 2015 |
Bibliographical note
© 2015 Elsevier B.V. All rights reserved. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.Keywords
- Bayes factor
- Chemical composition
- SEM-EDX analysis