IDEAS home Printed from https://ideas.repec.org/a/taf/lstaxx/v48y2019i13p3208-3218.html
   My bibliography  Save this article

Statistical methods for assessing the contagion of spatial extreme events among regions

Author

Listed:
  • Luísa Pereira
  • Cecília Fonseca

Abstract

The impact that large values of a spatial process of maxima over a finite region of locations, R⊂R2 , can have on a surrounding region of R is an important issue in risk management and an accurate assessment of the impact can prevents the occurrence of other disasters. This paper provides a set of contagion coefficients, on the assumption of max-stability, that can be applied in environmental and societal phenomena. These coefficients can be written as functions of well-known extremal dependence coefficients, leading to a simple estimation method for them. The performance of the proposed estimators are analyzed with a max-stable maxima of moving maxima random field. Applications of the introduced coefficients to annual maxima precipitation in regions of the northeast of United States of America are described.

Suggested Citation

  • Luísa Pereira & Cecília Fonseca, 2019. "Statistical methods for assessing the contagion of spatial extreme events among regions," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 48(13), pages 3208-3218, July.
  • Handle: RePEc:taf:lstaxx:v:48:y:2019:i:13:p:3208-3218
    DOI: 10.1080/03610926.2018.1473612
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03610926.2018.1473612
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03610926.2018.1473612?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:lstaxx:v:48:y:2019:i:13:p:3208-3218. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/lsta .

    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.