IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-22404-6_13.html
   My bibliography  Save this book chapter

L1-Regression for Multivariate Clustered Data

In: Modern Nonparametric, Robust and Multivariate Methods

Author

Listed:
  • Jaakko Nevalainen

    (University of Tampere, School of Health Sciences)

  • Denis Larocque

    (HEC Montréal, Department of Decision Sciences)

Abstract

In this chapter, we are considering L 1-type estimation for multivariate clustered data. Although valid, using the direct L 1 estimation of the regression coefficients in the clustered data setting is likely to lack efficiency since it does not use the intracluster correlation structure. A transformation–retransformation method is proposed to overcome this problem. This method first transforms the original model in an attempt to eliminate the intracluster correlation. Secondly, the L 1 estimates are obtained with the transformed data, which are then transformed back to the original scale. One particular implementation of this method is investigated in a simulation study which shows that it is more efficient than using the direct L 1 estimators.

Suggested Citation

  • Jaakko Nevalainen & Denis Larocque, 2015. "L1-Regression for Multivariate Clustered Data," Springer Books, in: Klaus Nordhausen & Sara Taskinen (ed.), Modern Nonparametric, Robust and Multivariate Methods, edition 1, chapter 0, pages 225-234, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-22404-6_13
    DOI: 10.1007/978-3-319-22404-6_13
    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:978-3-319-22404-6_13. 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.