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/