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Bayesian significance test for discriminating between survival distributions

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  • Cachimo Combo Assane
  • Basilio de Bragança Pereira
  • Carlos Alberto de Bragança Pereira

Abstract

An evaluation of FBST, Fully Bayesian Significance Test, restricted to survival models is the main objective of the present paper. A Survival distribution should be chosen among the tree celebrated ones, lognormal, gamma, and Weibull. For this discrimination, a linear mixture of the three distributions is an important tool: the FBST is used to test the hypotheses defined on the mixture weights space. Another feature of the paper is that all three distributions are reparametrized in that all the six parameters are written as functions of the mean and the variance of the population been studied. Some numerical results from simulations with some right-censored data are considered.

Suggested Citation

  • Cachimo Combo Assane & Basilio de Bragança Pereira & Carlos Alberto de Bragança Pereira, 2018. "Bayesian significance test for discriminating between survival distributions," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 47(24), pages 6095-6107, December.
    • Handle: RePEc:taf:lstaxx:v:47:y:2018:i:24:p:6095-6107
    DOI: 10.1080/03610926.2017.1406117
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