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Infant mortality model for lifetime data

Author

Listed:
  • J. Mazucheli
  • J. A. Achcar
  • E. A. Coelho-Barros
  • F. Louzada-Neto

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.

Suggested Citation

  • J. Mazucheli & J. A. Achcar & E. A. Coelho-Barros & F. Louzada-Neto, 2009. "Infant mortality model for lifetime data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(9), pages 1029-1036.
    • Handle: RePEc:taf:japsta:v:36:y:2009:i:9:p:1029-1036
    DOI: 10.1080/02664760802526907
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    References listed on IDEAS

    as
    1. Francisco Louzada-Neto, 1999. "Polyhazard Models for Lifetime Data," Biometrics, The International Biometric Society, vol. 55(4), pages 1281-1285, December.
    2. Robert B. Davies, 2002. "Hypothesis testing when a nuisance parameter is present only under the alternative: Linear model case," Biometrika, Biometrika Trust, vol. 89(2), pages 484-489, June.
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