IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-540-74496-2_32.html
   My bibliography  Save this book chapter

The Weighted Dyadic Diaphony of Digital Sequences

In: Monte Carlo and Quasi-Monte Carlo Methods 2006

Author

Listed:
  • Peter Kritzer

    (Universität Salzburg, Fachbereich Mathematik)

  • Friedrich Pillichshammer

    (Universität Linz, Institut für Finanzmathematik)

Abstract

Summary The (weighted) dyadic diaphony is a measure for the irregularity of distribution modulo one of a sequence. Recently it has been shown that the (weighted) dyadic diaphony can be interpreted as the worst-case error for QMC integration in a certain Hilbert space of functions. In this paper we give upper bounds on the weighted dyadic diaphony of digital (t, s)-sequences over ℤ2.

Suggested Citation

  • Peter Kritzer & Friedrich Pillichshammer, 2008. "The Weighted Dyadic Diaphony of Digital Sequences," Springer Books, in: Alexander Keller & Stefan Heinrich & Harald Niederreiter (ed.), Monte Carlo and Quasi-Monte Carlo Methods 2006, pages 549-560, Springer.
  • Handle: RePEc:spr:sprchp:978-3-540-74496-2_32
    DOI: 10.1007/978-3-540-74496-2_32
    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

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:978-3-540-74496-2_32. 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.