IDEAS home Printed from
   My bibliography  Save this article

A hybrid methodology for the Cox proportional hazard model


  • Marianela Luzardo Briceño

    () (Instituto de Estadística Aplicada y Computación, Universidad de Los Andes, Núcleo La Liria. Edificio G, Mérida, Venezuela.)


The paper proposes a methodology that uses the synergy between the statistics and the artificial intelligence to obtain estimations of the parameters of the proportional hazard Cox’s Model using the neo diffuse neuron structure proposed by Yamakawa in 1994. The methodology consists of three stages divided in turn in phases to obtain the estimations. There was used information of three complexes of the Venezuelan industry CVG-Venalum. The proposed methodology gives results with confidence intervals more precise that the obtained by the Cox’s methodology.

Suggested Citation

  • Marianela Luzardo Briceño, 2008. "A hybrid methodology for the Cox proportional hazard model," Economía, Instituto de Investigaciones Económicas y Sociales (IIES). Facultad de Ciencias Económicas y Sociales. Universidad de Los Andes. Mérida, Venezuela, vol. 33(26), pages 179-188, july-dece.
  • Handle: RePEc:ula:econom:v:33:y:2008:i:26:p:179-188

    Download full text from publisher

    File URL:
    Download Restriction: no

    More about this item


    Model; Cox; neo diffuse neuron;

    JEL classification:

    • F51 - International Economics - - International Relations, National Security, and International Political Economy - - - International Conflicts; Negotiations; Sanctions
    • L65 - Industrial Organization - - Industry Studies: Manufacturing - - - Chemicals; Rubber; Drugs; Biotechnology; Plastics
    • N56 - Economic History - - Agriculture, Natural Resources, Environment and Extractive Industries - - - Latin America; Caribbean
    • N76 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services - - - Latin America; Caribbean


    Access and download statistics


    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:ula:econom:v:33:y:2008:i:26:p:179-188. 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: (Alexis Vásquez). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.