Uso do processo gama para dados de sobrevivência.
Abstract
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.