IDEAS home Printed from https://ideas.repec.org/a/bla/jorssc/v52y2003i3p337-354.html
   My bibliography  Save this article

An extreme value analysis for the investigation into the sinking of the M. V. Derbyshire

Author

Listed:
  • Janet E. Heffernan
  • Jonathan A. Tawn

Abstract

Summary. The paper describes our involvement in the high court reopened formal investigation into the sinking of the bulk carrier M. V. Derbyshire. The statistical problem that we addressed concerned the estimation of the probability that the ship had sunk from a particular form of structural failure, resulting from large wave impacts on the ship, for each of a range of possible sea‐state and vessel conditions. We considered several statistical models for the wave impacts on the ship with the generalized Pareto distribution, motivated by extreme value theory, providing an excellent description and aiding the investigation to draw clear conclusions about the cause of the sinking.

Suggested Citation

  • Janet E. Heffernan & Jonathan A. Tawn, 2003. "An extreme value analysis for the investigation into the sinking of the M. V. Derbyshire," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 52(3), pages 337-354, July.
    • Handle: RePEc:bla:jorssc:v:52:y:2003:i:3:p:337-354
    DOI: 10.1111/1467-9876.00408
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1467-9876.00408
    Download Restriction: no
    File URL: https://libkey.io/10.1111/1467-9876.00408?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
    ---><---

    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:52:y:2003:i:3:p:337-354. 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.