A hybrid methodology for the Cox proportional hazard model
AbstractThe 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.
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Bibliographic InfoArticle provided by Instituto de Investigaciones Económicas y Sociales (IIES). Facultad de Ciencias Económicas y Sociales. Universidad de Los Andes. Mérida, Venezuela in its journal Economia.
Volume (Year): 33 (2008)
Issue (Month): 26 (july-december)
Contact details of provider:
Postal: Facultad de Ciencias Económicas y Sociales. Instituto de Investigaciones Económicas y Sociales. Campus Universitario Liria, Edificio G, Tercer Nivel. Mérida 5101, Estado Mérida, Venezuela
Phone: +58 74 401111 ext. 1081
Fax: +58 74 401120
Web page: http://iies.faces.ula.ve/
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Model; Cox; neo diffuse neuron;
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