IDEAS home Printed from https://ideas.repec.org/a/taf/lstaxx/v54y2025i9p2675-2689.html
   My bibliography  Save this article

An effective statistic and robust block designs for studying outliers in incomplete multiresponse experiment

Author

Listed:
  • Raju Kumar

Abstract

An Andrews-Pregibon statistic has been developed to test outliers in the linear model for incomplete multiresponse experiment designs. An incomplete multiresponse design’s data set is used to test this newly developed statistic. A new criterion for the robustness of incomplete multiresponse experimental designs against the presence of a single outlier is proposed. The average Cook-statistic is the basis for this new criterion. A number of one-way elimination of heterogeneity designs are examined that are robust toward the presence of a single outlier.

Suggested Citation

  • Raju Kumar, 2025. "An effective statistic and robust block designs for studying outliers in incomplete multiresponse experiment," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 54(9), pages 2675-2689, May.
    • Handle: RePEc:taf:lstaxx:v:54:y:2025:i:9:p:2675-2689
    DOI: 10.1080/03610926.2024.2372071
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03610926.2024.2372071
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03610926.2024.2372071?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    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:taf:lstaxx:v:54:y:2025:i:9:p:2675-2689. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/lsta .

    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.