Infant mortality model for lifetime data


Autoria(s): MAZUCHELI, J.; ACHCAR, J. A.; COELHO-BARROS, E. A.; LOUZADA-NETO, F.
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

20/10/2012

20/10/2012

2009

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

http://dx.doi.org/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