IDEAS home Printed from https://ideas.repec.org/a/spr/stpapr/v50y2009i2p407-418.html
   My bibliography  Save this article

On generalized order statistics from linear exponential distribution and its characterization

Author

Listed:
  • M. Mahmoud
  • H. Al-Nagar

Abstract

No abstract is available for this item.

Suggested Citation

  • M. Mahmoud & H. Al-Nagar, 2009. "On generalized order statistics from linear exponential distribution and its characterization," Statistical Papers, Springer, vol. 50(2), pages 407-418, March.
    • Handle: RePEc:spr:stpapr:v:50:y:2009:i:2:p:407-418
    DOI: 10.1007/s00362-007-0073-4
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00362-007-0073-4
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s00362-007-0073-4?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.

    References listed on IDEAS

    as
    1. Essam K. AL-Hussaini & Abd EL-Baset A. Ahmad & M.A. AL-Kashif, 2005. "Recurrence relations for moment and conditional moment generating functions of generalized order statistics," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 61(2), pages 199-220, April.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Ajit Chaturvedi & Ananya Malhotra, 2017. "Estimation and testing procedures for the reliability functions of a family of lifetime distributions based on records," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 836-848, November.
    2. H. M. Barakat & E. M. Nigm & Magdy E. El-Adll & M. Yusuf, 2018. "Prediction of future generalized order statistics based on exponential distribution with random sample size," Statistical Papers, Springer, vol. 59(2), pages 605-631, June.
    3. Mariusz Bieniek & Agnieszka Goroncy, 2020. "Sharp lower bounds on expectations of gOS based on DGFR distributions," Statistical Papers, Springer, vol. 61(3), pages 1027-1042, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      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:stpapr:v:50:y:2009:i:2:p:407-418. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.