IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v160y2008i1p83-9810.1007-s10479-007-0298-6.html
   My bibliography  Save this article

Geometric decay in level-expanding QBD models

Author

Listed:
  • Liming Liu
  • Masakiyo Miyazawa
  • Yiqiang Zhao

Abstract

Level-expanding quasi-birth-and-death (QBD) processes have been shown to be an efficient modeling tool for studying multi-dimensional systems, especially two-dimensional ones. Computationally, it changes the more challenging problem of dealing with algorithms for two-dimensional systems to a less challenging one for block-structured transition matrices of QBD type with varying finite block sizes. In this paper, we focus on tail asymptotics in the stationary distribution of a level-expanding QBD process. Specifically, we provide sufficient conditions for geometric tail asymptotics for the level-expanding QBD process, and then apply the result to an interesting two-dimensional system, an inventory queue model. Copyright Springer Science+Business Media, LLC 2008

Suggested Citation

  • Liming Liu & Masakiyo Miyazawa & Yiqiang Zhao, 2008. "Geometric decay in level-expanding QBD models," Annals of Operations Research, Springer, vol. 160(1), pages 83-98, April.
  • Handle: RePEc:spr:annopr:v:160:y:2008:i:1:p:83-98:10.1007/s10479-007-0298-6
    DOI: 10.1007/s10479-007-0298-6
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10479-007-0298-6
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10479-007-0298-6?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yiqiang Q. Zhao, 2022. "The kernel method tail asymptotics analytic approach for stationary probabilities of two-dimensional queueing systems," Queueing Systems: Theory and Applications, Springer, vol. 100(1), pages 95-131, February.

    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:annopr:v:160:y:2008:i:1:p:83-98:10.1007/s10479-007-0298-6. 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.