IDEAS home Printed from https://ideas.repec.org/a/ids/ijmcdm/v5y2015i3p263-273.html
   My bibliography  Save this article

Parameter estimation through the weighted goal programming model

Author

Listed:
  • Belaid Aouni
  • Cinzia Colapinto
  • Davide La Torre

Abstract

Many models in economics, management and finance can be described in terms of nonlinear dynamical systems which usually depend on some unknown parameters. To conduct a long-run behaviour analysis of these models it is of paramount importance to establish efficient and accurate parameter estimation techniques. Today many sophisticated nonlinear model estimation, selection and testing approaches are available and reliable. However, when the nonlinear dynamical systems take the form of differential equations, many of them fail and it is required to use more advanced techniques. The aim of this paper is to present a weighted goal programming formulation for estimating the unknown parameters of dynamical models described in terms of differential equations. The method is illustrated through two different applications to population dynamics (Malthus model) and innovation diffusion (Bass model).

Suggested Citation

  • Belaid Aouni & Cinzia Colapinto & Davide La Torre, 2015. "Parameter estimation through the weighted goal programming model," International Journal of Multicriteria Decision Making, Inderscience Enterprises Ltd, vol. 5(3), pages 263-273.
    • Handle: RePEc:ids:ijmcdm:v:5:y:2015:i:3:p:263-273
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=71251
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    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:ids:ijmcdm:v:5:y:2015:i:3:p:263-273. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=350 .

    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.