Infant mortality model for lifetime data

Autor(es)

Mazucheli, J. ^[1] ; Achcar, J. A. ^[2] ; Coelho-Barros, E. A. ^[2] ; Louzada-Neto, F. ^[3]

Afiliação do(s) autor(es)

^[1] Univ Estadual Maringa, DEs, Maringa, Parana - Brazil

^[2] Univ Sao Paulo, Fac Med Ribeirao Preto, DMS, Ribeirao Preto - Brazil

^[3] Univ Fed Sao Carlos, DEs, BR-13560 Sao Carlos, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: Journal of Applied Statistics; v. 36, n. 9, p. 1029-1036, 2009.
• Citações Web of Science: 1

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. (AU)

• Processo FAPESP: 07/01379-2 - Análise estatística para dados de contagem médicos longitudinais na presença de covariáveis
• Beneficiário: Emílio Augusto Coelho Barros
• Modalidade de apoio: Bolsas no Brasil - Mestrado