Infant mortality model for lifetime data
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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Data(s) |
20/10/2012
20/10/2012
2009
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Resumo |
In this paper we introduce a parametric model for handling lifetime data where an early lifetime can be related to the infant-mortality failure or to the wear processes but we do not know which risk is responsible for the failure. The maximum likelihood approach and the sampling-based approach are used to get the inferences of interest. Some special cases of the proposed model are studied via Monte Carlo methods for size and power of hypothesis tests. To illustrate the proposed methodology, we introduce an example consisting of a real data set. CNPq[300235/2005-5] Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) FAPESP[2007/01379-2] |
Identificador |
JOURNAL OF APPLIED STATISTICS, LONDON, v.36, n.9, p.1029-1036, 2009 0266-4763 http://producao.usp.br/handle/BDPI/28781 10.1080/02664760802526907 |
Idioma(s) |
eng |
Publicador |
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD LONDON |
Relação |
Journal of Applied Statistics |
Direitos |
restrictedAccess Copyright ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD |
Palavras-Chave | #hazard models #infant-mortality failure #mixture models #Monte Carlo study #Weibull model #bootstrap #Statistics & Probability |
Tipo |
article original article publishedVersion |