IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v45y1994i2p155-160.html
   My bibliography  Save this article

Some forecasting applications of partially adaptive estimators of ARIMA models

Author

Listed:
  • McDonald, James B.
  • Xu, Yexiao

Abstract

No abstract is available for this item.

Suggested Citation

  • McDonald, James B. & Xu, Yexiao, 1994. "Some forecasting applications of partially adaptive estimators of ARIMA models," Economics Letters, Elsevier, vol. 45(2), pages 155-160, June.
    • Handle: RePEc:eee:ecolet:v:45:y:1994:i:2:p:155-160
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0165-1765(94)90127-9
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. J V Hansen & J B McDonald & R D Nelson, 2006. "Some evidence on forecasting time-series with support vector machines," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(9), pages 1053-1063, September.
    2. Devendra Joshi & Premkumar Chithaluru & Divya Anand & Fahima Hajjej & Kapil Aggarwal & Vanessa Yelamos Torres & Ernesto Bautista Thompson, 2023. "RETRACTED: An Evolutionary Technique for Building Neural Network Models for Predicting Metal Prices," Mathematics, MDPI, vol. 11(7), pages 1-19, March.
    3. J V Hansen & R D Nelson, 2003. "Forecasting and recombining time-series components by using neural networks," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(3), pages 307-317, March.
    4. Fischer, Matthias J., 2000. "The folded EGB2 distribution and its application to financial return data," Discussion Papers 32/2000, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Statistics and Econometrics.

    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:eee:ecolet:v:45:y:1994:i:2:p:155-160. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.