IDEAS home Printed from https://ideas.repec.org/a/bla/jorssc/v36y1987i2p174-180.html
   My bibliography  Save this article

Evaluation of the Likelihood Ratio for Fibre Transfer Evidence in Criminal Cases

Author

Listed:
  • I. W. Evett
  • P. E. Cage
  • C. G. G. Aitken

Abstract

During the commission of a crime, particularly a violent crime, it is possible that fibres may be transferred: perhaps from criminal to victim, or from victim to criminal. Recently, new methods have been introduced which enable quantitative colour measurements to be made on individual fibres and a data collection of colour measurements on a sample of 8000 fibres has been built up. A method is described for evaluating the likelihood ratio for the case in which a single fibre has been left at the scene of a crime and it is to be compared with a sample of fibres of known origin (the control). The numerator of the likelihood ratio is based on the hypothesis that the single fibre came from the same source as the control and is evaluated by means of a predictive distribution. The denominator is based on the hypothesis that the single fibre came from some other source in the population of fibre sources. The sample is assumed to be representative of that population and is used, through kernel density estimation, to evaluate the denominator which is essentially a measure of how rare or common the particular fibre colour is. An experiment based on wool samples in the collection is described.

Suggested Citation

  • I. W. Evett & P. E. Cage & C. G. G. Aitken, 1987. "Evaluation of the Likelihood Ratio for Fibre Transfer Evidence in Criminal Cases," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 36(2), pages 174-180, June.
  • Handle: RePEc:bla:jorssc:v:36:y:1987:i:2:p:174-180
    DOI: 10.2307/2347549
    as

    Download full text from publisher

    File URL: https://doi.org/10.2307/2347549
    Download Restriction: no

    File URL: https://libkey.io/10.2307/2347549?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jan Hannig & Hari Iyer, 2022. "Testing for calibration discrepancy of reported likelihood ratios in forensic science," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 267-301, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jorssc:v:36:y:1987:i:2:p:174-180. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.