IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v44y1996i5p810-815.html
   My bibliography  Save this article

The Departure Process of the GI / G /1 Queue and Its MacLaurin Series

Author

Listed:
  • Jian-Qiang Hu

    (Boston University, Boston, Massachusetts)

Abstract

In this paper, we study the departure process of the GI / G /1 queue. We develop a simple recursive procedure to calculate the MacLaurin series of its moments and covariances with respect to a parameter in the service time. Based on this recursive procedure the explicit formulas of the coefficients of these MacLaurin series can be obtained in terms of derivatives of the probability density function of the interarrival time evaluated at zero and the moments of the interarrival time and the service time. One important application of these MacLaurin series is that they can be used to obtain the entire response curves of the moments and variances of the departure process, for example, via interpolation by polynomials or rational functions.

Suggested Citation

  • Jian-Qiang Hu, 1996. "The Departure Process of the GI / G /1 Queue and Its MacLaurin Series," Operations Research, INFORMS, vol. 44(5), pages 810-815, October.
  • Handle: RePEc:inm:oropre:v:44:y:1996:i:5:p:810-815
    DOI: 10.1287/opre.44.5.810
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.44.5.810
    Download Restriction: no

    File URL: https://libkey.io/10.1287/opre.44.5.810?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
    ---><---

    Citations

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


    Cited by:

    1. Blanc, J.P.C., 2002. "Computation of autocorrelations of interdeparture times by numerical transform inversion," Other publications TiSEM 361aba37-59b5-449a-885c-c, Tilburg University, School of Economics and Management.
    2. Girish, Muckai K. & Hu, Jian-Qiang, 2000. "Higher order approximations for the single server queue with splitting, merging and feedback," European Journal of Operational Research, Elsevier, vol. 124(3), pages 447-467, August.
    3. Weimin Dai & Jian-Qiang Hu, 2022. "Correlated queues with service times depending on inter-arrival times," Queueing Systems: Theory and Applications, Springer, vol. 100(1), pages 41-60, February.
    4. Girish, Muckai K. & Hu, Jian-Qiang, 2001. "Approximations for the departure process of the G/G/1 queue with Markov-modulated arrivals," European Journal of Operational Research, Elsevier, vol. 134(3), pages 540-556, November.

    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:inm:oropre:v:44:y:1996:i:5:p:810-815. 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 Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.