IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/mrwu3_v1.html
   My bibliography  Save this paper

Strengths and weaknesses of the logistic function used in forecasting

Author

Listed:
  • MODIS, THEODORE

    (CERN)

Abstract

This work describes strengths and weaknesses of the logistic function used in forecasting from a theoretical and a practical point of view. Theoretical topics treated are: generalizing the concept of competition, dividing the growth cycle in four "seasons", and using logistics simply qualitatively to obtain rare insights and intuitive understanding. Practical topics addresses are: determination of the uncertainties, how to decide whether to fit cumulative or per unit of time data, and how to deal with a bias toward a low ceiling. This article is my contribution to a massive review article with title "Forecasting: theory and practice" published in the International Journal of Forecasting. For an updated version see: https://forecasting-encyclopedia.com/index.html

Suggested Citation

  • Modis, Theodore, 2022. "Strengths and weaknesses of the logistic function used in forecasting," OSF Preprints mrwu3_v1, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:mrwu3_v1
    DOI: 10.31219/osf.io/mrwu3_v1
    as

    Download full text from publisher

    File URL: https://osf.io/download/61bc6709a23afc00c71643a6/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/mrwu3_v1?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:osf:osfxxx:mrwu3_v1. 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: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    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.