IDEAS home Printed from https://ideas.repec.org/a/eee/stapro/v34y1997i4p341-345.html
   My bibliography  Save this article

Asymptotic independence of median and MAD

Author

Listed:
  • Falk, Michael

Abstract

The asymptotic joint normality of the sample median and the median absolute deviation from the median (MAD) as robust counterparts of sample mean and standard deviation is established. This characterizes their asymptotic independence, paralleling the asymptotic independence of mean and standard deviation. Analogous results are established for the median and the interquartile range.

Suggested Citation

  • Falk, Michael, 1997. "Asymptotic independence of median and MAD," Statistics & Probability Letters, Elsevier, vol. 34(4), pages 341-345, June.
  • Handle: RePEc:eee:stapro:v:34:y:1997:i:4:p:341-345
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-7152(96)00199-X
    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. Olive, David J., 2001. "High breakdown analogs of the trimmed mean," Statistics & Probability Letters, Elsevier, vol. 51(1), pages 87-92, January.
    2. Serfling, Robert & Mazumder, Satyaki, 2009. "Exponential probability inequality and convergence results for the median absolute deviation and its modifications," Statistics & Probability Letters, Elsevier, vol. 79(16), pages 1767-1773, August.
    3. Mazumder, Satyaki & Serfling, Robert, 2009. "Bahadur representations for the median absolute deviation and its modifications," Statistics & Probability Letters, Elsevier, vol. 79(16), pages 1774-1783, August.
    4. Nagatsuka, Hideki & Kawakami, Hiroshi & Kamakura, Toshinari & Yamamoto, Hisashi, 2013. "The exact finite-sample distribution of the median absolute deviation about the median of continuous random variables," Statistics & Probability Letters, Elsevier, vol. 83(4), pages 999-1005.
    5. Zhiqiang Chen & Evarist Giné, 2004. "Another approach to asymptotics and bootstrap of randomly trimmed means," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 56(4), pages 771-790, December.
    6. Mahesh K.C & Arnab Kumar Laha, 2021. "A Robust Sharpe Ratio," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(2), pages 444-465, 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:eee:stapro:v:34:y:1997:i:4:p:341-345. 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.