IDEAS home Printed from https://ideas.repec.org/a/vrs/stintr/v23y2022i3p65-78n10.html
   My bibliography  Save this article

Interval shrinkage estimation of the parameter of exponential distribution in the presence of outliers under loss functions

Author

Listed:
  • Nasiri Parviz

    (Department of Statistics, University of Payam Noor, 19395-4697, Tehran, Iran .)

Abstract

In this paper, we studied estimators based on an interval shrinkage with equal weights point shrinkage estimators for all individual target points ¯θ ∈ (θ0,θ1) for exponentially distributed observations in the presence of outliers drawn from a uniform distribution. Estimators obtained from both shrinkage and interval shrinkage were compared, showing that the estimators obtained via the interval shrinkage method perform better. Symmetric and asymmetric loss functions were also used to calculate the estimators. Finally, a numerical study and illustrative examples were provided to describe the results.

Suggested Citation

  • Nasiri Parviz, 2022. "Interval shrinkage estimation of the parameter of exponential distribution in the presence of outliers under loss functions," Statistics in Transition New Series, Polish Statistical Association, vol. 23(3), pages 65-78, September.
    • Handle: RePEc:vrs:stintr:v:23:y:2022:i:3:p:65-78:n:10
    DOI: 10.2478/stattrans-2022-0030
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/stattrans-2022-0030
    Download Restriction: no
    File URL: https://libkey.io/10.2478/stattrans-2022-0030?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
    ---><---

    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:vrs:stintr:v:23:y:2022:i:3:p:65-78:n:10. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.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.