IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-4-431-65955-6_23.html

Estimation of the Fifth Percentile Using a Subset of Order Statistics

In: Measurement and Multivariate Analysis

Author

Listed:
  • Kōsei Iwase

    (Hiroshima University)

  • Koji Kanefuji

    (The Institute of Statistical Mathematics)

Abstract

Summary Estimation of the fifth percentile using a subset of order statistics is closely related to the water quality standards in the United States. We focus on the subsample size to estimate it. Because the possibility and consequences of skewness of the original data give a good reason to restrict the subsample size, the subsample size of 2 is recommended in this paper. We also evaluate the estimator of a Final Acute Value (FAV) analytically, based on the subsample size of 2 closest to 0.05.

Suggested Citation

  • Kōsei Iwase & Koji Kanefuji, 2002. "Estimation of the Fifth Percentile Using a Subset of Order Statistics," Springer Books, in: Shizuhiko Nishisato & Yasumasa Baba & Hamparsum Bozdogan & Koji Kanefuji (ed.), Measurement and Multivariate Analysis, pages 217-226, Springer.
    • Handle: RePEc:spr:sprchp:978-4-431-65955-6_23
    DOI: 10.1007/978-4-431-65955-6_23
    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:978-4-431-65955-6_23. 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.