Advanced Search
MyIDEAS: Login

On Combining Forecasts: Some Extensions and Results

Contents:

Author Info

  • Anthony E. Bopp

    (Department of Information and Decision Sciences, James Madison University, Harrisonburg, Virginia 22807)

Registered author(s):

    Abstract

    This paper is about the motivation, methodology, and evaluation of combining the forecasts from two or more different models in a "combined" forecast. Granger and Newbold (Granger, C., P. Newbold. 1977. Forecasting Economic Time Series. Academic Press, New York.) have presented this method as one whereby an "optimal" forecast can be obtained. Makridakis and Winkler (1966) and Winkler and Makridakis (Winkler, R., S. Makridakis. 1983. The combination of forecasts: some empirical results. J. Roy. Statist. Soc., Ser. A 146 150--157.) have presented results to support this claim and Mahmoud (Mahmoud, Essam. 1984. Accuracy in forecasting: a survey. J. Forecasting 3 139--159.) has reviewed over 20 articles all claiming that combined forecasts out perform single model forecasts. This paper extends this topic in a number of directions. First a section on motivation provides additional reasons for combining forecasts. Combination problems are then discussed in §2, observations and evaluations of the problem presented are discussed in §3 and concluding remarks are contained in §4.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://dx.doi.org/10.1287/mnsc.31.12.1492
    Download Restriction: no

    Bibliographic Info

    Article provided by INFORMS in its journal Management Science.

    Volume (Year): 31 (1985)
    Issue (Month): 12 (December)
    Pages: 1492-1498

    as in new window
    Handle: RePEc:inm:ormnsc:v:31:y:1985:i:12:p:1492-1498

    Contact details of provider:
    Postal: 7240 Parkway Drive, Suite 300, Hanover, MD 21076 USA
    Phone: +1-443-757-3500
    Fax: 443-757-3515
    Email:
    Web page: http://www.informs.org/
    More information through EDIRC

    Related research

    Keywords: forecasting: applications;

    References

    No references listed on IDEAS
    You can help add them by filling out this form.

    Citations

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

    Cited by:
    1. Lau, Hon-Shiang & Hing-Ling Lau, Amy, 1996. "Estimating the demand distributions of single-period items having frequent stockouts," European Journal of Operational Research, Elsevier, vol. 92(2), pages 254-265, July.

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:inm:ormnsc:v:31:y:1985:i:12:p:1492-1498. 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: (Mirko Janc).

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 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.