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A hybrid methodology for the Cox proportional hazard model

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  • Marianela Luzardo Briceño

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

Abstract

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
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    Keywords

    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

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