IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-60769-1_1.html
   My bibliography  Save this book chapter

Challenges of Applied Extreme Value Statistics

In: Applied Extreme Value Statistics

Author

Listed:
  • Arvid Naess

    (Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering)

Abstract

This book provides an introduction to the calculation of extreme value statistics for measured or simulated data. “Extreme” here means “the largest”, interpreted in a way that follows from the context. As opposed to books on asymptotic extreme value statistics, the focus is also on methods specifically developed to work for real-life data. A consequence of this, is that the book contains much less theoretical issues about the asymptotic properties of extreme value statistics than is usual. However, the most important elements from the asymptotic extreme value statistics will be discussed, since they are still widely used in practical applications.

Suggested Citation

  • Arvid Naess, 2024. "Challenges of Applied Extreme Value Statistics," Springer Books, in: Applied Extreme Value Statistics, chapter 0, pages 1-4, Springer.
  • Handle: RePEc:spr:sprchp:978-3-031-60769-1_1
    DOI: 10.1007/978-3-031-60769-1_1
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:sprchp:978-3-031-60769-1_1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.