A hybrid methodology for the Cox proportional hazard model
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.
Year of publication: |
2008
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Authors: | Briceño, Marianela Luzardo |
Published in: |
Economía. - Instituto de Investigaciones Económicas y Sociales, ISSN 1315-2467. - Vol. 33.2008, 26, p. 179-188
|
Publisher: |
Instituto de Investigaciones Económicas y Sociales |
Subject: | Model | Cox | neo diffuse neuron |
Saved in:
freely available
Extent: | application/pdf |
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Type of publication: | Article |
Language: | Spanish |
Classification: | F51 - International Conflicts; Negotiations; Sanctions ; L65 - Chemicals; Rubber; Drugs; Biotechnology ; N56 - Latin America; Caribbean ; N76 - Latin America; Caribbean |
Source: |
Persistent link: https://www.econbiz.de/10004966340
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