IDEAS home Printed from https://ideas.repec.org/a/bla/jamest/v31y1980i4p256-263.html
   My bibliography  Save this article

Approaches to forecasting demands for library network services

Author

Listed:
  • Jong H. Kang
  • William B. Rouse

Abstract

The problem of forecasting monthly demands for library network services is considered, especially in terms of using forecasts as inputs to policy analysis models and in terms of the use of forecasts as an aid to budgeting and staffing decisions. Forecasting methods considered include Box‐Jenkins time‐series methodology, adaptive filtering, and linear regression. Using demand data from the Illinois Library and Information Network for 1971–1978, it is shown that fading‐memory regression is the most appropriate method, in terms of both accuracy and ease of use.

Suggested Citation

  • Jong H. Kang & William B. Rouse, 1980. "Approaches to forecasting demands for library network services," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 31(4), pages 256-263, August.
    • Handle: RePEc:bla:jamest:v:31:y:1980:i:4:p:256-263
    DOI: 10.1002/asi.4630310405
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asi.4630310405
    Download Restriction: no
    File URL: https://libkey.io/10.1002/asi.4630310405?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:bla:jamest:v:31:y:1980:i:4:p:256-263. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    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.