A hybrid methodology for the Cox proportional hazard model

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

Economía, 2008, vol. 33, issue 26, 179-188

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.

Keywords: Model; Cox; neo diffuse neuron (search for similar items in EconPapers)
JEL-codes: F51 L65 N56 N76 (search for similar items in EconPapers)
Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:ula:econom:v:33:y:2008:i:26:p:179-188

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