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Uso do processo gama para dados de sobrevivência
(Universidade Federal de São Carlos, 2005-01-20) Uêda, Shirley Tieko; Achcar, Jorge Alberto; https://lattes.cnpq.br/3125027713681936
In this dissertation, we introduce classical and Bayesian approaches to get inferences on the parameters of interest, considering exponential and Weibull distributions for the lifetimes. For a Bayesian analysis, we assume a gamma process for the individual rates considering type II censoring data and the presence of covariates. We also consider ac- celerated life tests assuming an inverse power law model and an exponential distribution for the lifetimes. The proposed methodology in illustrated in three examples.