IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-74942-2_5.html
   My bibliography  Save this book chapter

Collecting and Analyzing Data

In: Extreme Value Theory with Applications to Natural Hazards

Author

Listed:
  • Marc Andreewsky

    (EDF R&D)

  • Nicolas Bousquet

    (EDF R&D)

Abstract

This chapter focuses on the first steps of a statistical study of extreme values based on real hazard data. Illustrated by numerous examples, the qualitative and quantitative characteristics of these data are analyzed in order to come as close as possible to the theoretical conditions of application—in particular the notion of asymptotism—and to statistically characterize their nature (regular, truncated, censored...). This chapter is, therefore, an essential prerequisite for the concrete application of the theoretical tools presented in the following chapters.

Suggested Citation

  • Marc Andreewsky & Nicolas Bousquet, 2021. "Collecting and Analyzing Data," Springer Books, in: Nicolas Bousquet & Pietro Bernardara (ed.), Extreme Value Theory with Applications to Natural Hazards, chapter 0, pages 59-81, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-74942-2_5
    DOI: 10.1007/978-3-030-74942-2_5
    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:978-3-030-74942-2_5. 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.