IDEAS home Printed from https://ideas.repec.org/a/qnt/quantl/y2009i7p37-52.html
   My bibliography  Save this article

Nonparametric regression (in Russian)

Author

Listed:
  • Stanislav Anatolyev

    () (New Economic School, Russia)

Abstract

This essay covers the principles and methodology of nonparametric estimation of a mean regression. The emphasis is put on kernel smoothing, but non-kernel methods are also reviewed.

Suggested Citation

  • Stanislav Anatolyev, 2009. "Nonparametric regression (in Russian)," Quantile, Quantile, issue 7, pages 37-52, September.
  • Handle: RePEc:qnt:quantl:y:2009:i:7:p:37-52
    as

    Download full text from publisher

    File URL: http://quantile.ru/07/07-SA.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Adam M. Copeland & Gabriel W. Medeiros & Carol A. Robbins, 2007. "Estimating Prices for R&D Investment in the 2007 R&D Satellite Account," BEA Papers 0083, Bureau of Economic Analysis.
    2. Philip Hans Franses & Richard Paap, 2000. "Modelling day-of-the-week seasonality in the S&P 500 index," Applied Financial Economics, Taylor & Francis Journals, vol. 10(5), pages 483-488.
    3. Chen, Xiaohong, 2007. "Large Sample Sieve Estimation of Semi-Nonparametric Models," Handbook of Econometrics,in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 76 Elsevier.
    Full references (including those not matched with items on IDEAS)

    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:qnt:quantl:y:2009:i:7:p:37-52. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Stanislav Anatolyev). General contact details of provider: http://quantile.ru/ .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.