IDEAS home Printed from https://ideas.repec.org/a/eee/stapro/v36y1997i2p199-204.html
   My bibliography  Save this article

Augmented order statistics and the biasing effect of outliers

Author

Listed:
  • David, H. A.

Abstract

Augmented order statistics are defined as the order statistics in a sample of n consisting of n - k random observations and k fixed values. Some distribution theory is developed and applied to a study, for k = 1, of the biasing effect of an observation at x on estimators, such as trimmed means, that are linear functions of the order statistics.

Suggested Citation

  • David, H. A., 1997. "Augmented order statistics and the biasing effect of outliers," Statistics & Probability Letters, Elsevier, vol. 36(2), pages 199-204, December.
    • Handle: RePEc:eee:stapro:v:36:y:1997:i:2:p:199-204
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-7152(97)00066-7
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Name Correa, Alvaro J. & Yildirim, Huseyin, 2024. "Multiple prizes in tournaments with career concerns," Journal of Economic Theory, Elsevier, vol. 215(C).
    2. MohammadTaghi Hajiaghayi & Keivan Rezaei & Suho Shin, 2023. "Delegating to Multiple Agents," Papers 2305.03203, arXiv.org, revised May 2023.
    3. Mitchell Watt, 2021. "Concavity and Convexity of Order Statistics in Sample Size," Papers 2111.04702, arXiv.org, revised Oct 2024.

    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:eee:stapro:v:36:y:1997:i:2:p:199-204. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description .

    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.