IDEAS home Printed from https://ideas.repec.org/a/gam/jstats/v8y2025i2p33-d1646419.html
   My bibliography  Save this article

A Smoothed Three-Part Redescending M-Estimator

Author

Listed:
  • Alistair J. Martin

    (School of Mathematics, Statistics, Chemistry and Physics, Murdoch University, Murdoch, WA 6150, Australia)

  • Brenton R. Clarke

    (School of Mathematics, Statistics, Chemistry and Physics, Murdoch University, Murdoch, WA 6150, Australia)

Abstract

A smoothed M-estimator is derived from Hampel’s three-part redescending estimator for location and scale. The estimator is shown to be weakly continuous and Fréchet differentiable in the neighbourhood of the normal distribution. Asymptotic assessment is conducted at asymmetric contaminating distributions, where smoothing is shown to improve variance and change-of-variance sensitivity. Other robust metrics compared are largely unchanged, and therefore, the smoothed functions represent an improvement for asymmetric contamination near the rejection point with little downside.

Suggested Citation

  • Alistair J. Martin & Brenton R. Clarke, 2025. "A Smoothed Three-Part Redescending M-Estimator," Stats, MDPI, vol. 8(2), pages 1-17, April.
  • Handle: RePEc:gam:jstats:v:8:y:2025:i:2:p:33-:d:1646419
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2571-905X/8/2/33/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2571-905X/8/2/33/
    Download Restriction: no
    ---><---

    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:gam:jstats:v:8:y:2025:i:2:p:33-:d:1646419. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.