Infant mortality model for lifetime data
J. Mazucheli,
J. A. Achcar,
E. A. Coelho-Barros and
F. Louzada-Neto
Journal of Applied Statistics, 2009, vol. 36, issue 9, 1029-1036
Abstract:
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.
Keywords: hazard models; infant-mortality failure; mixture models; Monte Carlo study; Weibull model; bootstrap (search for similar items in EconPapers)
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:taf:japsta:v:36:y:2009:i:9:p:1029-1036
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DOI: 10.1080/02664760802526907
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