In this paper, we introduce the Weibull distributions in presenceof cure fraction, censored data and covariates. Two models are explored in thispaper: mixture and non-mixture models. Inferences for the proposed models areobtained under the Bayesian approach, using standard MCMC (Markov ChainMonte Carlo) methods. An illustration of the proposed methodology is givenconsidering a lifetime data set.
@article{140,
title = {Cure fraction models using mixture and non-mixture models},
journal = {Tatra Mountains Mathematical Publications},
volume = {51},
year = {2012},
doi = {10.2478/tatra.v51i1.140},
language = {EN},
url = {http://dml.mathdoc.fr/item/140}
}
Achcar, Jorge Alberto; Coelho-Barros, Emílo A; Mazucheli, Josmar. Cure fraction models using mixture and non-mixture models. Tatra Mountains Mathematical Publications, Tome 51 (2012) . doi : 10.2478/tatra.v51i1.140. http://gdmltest.u-ga.fr/item/140/