IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-05801-6_5.html
   My bibliography  Save this book chapter

Nonparametric and Semiparametric Regression for Dependent Data

In: The Work of Raymond J. Carroll

Author

Listed:
  • Yehua Li

    (Iowa State University)

  • Naisyin Wang

    (University of Michigan)

Abstract

We are honored to include this article to celebrate the publication of Ray’s collected works by Springer. These collected works mark another milestone in Ray’s distinguished career, as evident by the wide range of statistics publications he has contributed to the literature over the years. The enclosed papers have had far-reaching impacts on the field of statistics, in addition to other disciplines, including AIDS research, cancer studies, finance, image analysis, proteomics, and genomics. We anticipate future new applications of the methods and theory Ray developed that are represented in these papers. We appreciate this opportunity to discuss Ray’s contributions to non- and semiparametric longitudinal and functional data analysis.

Suggested Citation

  • Yehua Li & Naisyin Wang, 2014. "Nonparametric and Semiparametric Regression for Dependent Data," Springer Books, in: Marie Davidian & Xihong Lin & Jeffrey S. Morris & Leonard A. Stefanski (ed.), The Work of Raymond J. Carroll, edition 127, chapter 0, pages 371-446, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-05801-6_5
    DOI: 10.1007/978-3-319-05801-6_5
    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:978-3-319-05801-6_5. 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.