Cure fraction models using mixture and non-mixture models

Jorge A. Achcar; Emílio A. Coelho-Barros; Josmar Mazucheli

doi:10.2478/v10127-012-0001-4

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Cure fraction models using mixture and non-mixture models

Tatra Mountains Mathematical Publications

Volume 51 (2012): Issue 1 (April 2012)

By: Jorge A. Achcar, Emílio A. Coelho-Barros and Josmar Mazucheli

Open Access

|Nov 2012

Abstract

We introduce the Weibull distributions in presence of cure fraction, censored data and covariates. Two models are explored in this paper: mixture and non-mixture models. Inferences for the proposed models are obtained under the Bayesian approach, using standard MCMC (Markov Chain Monte Carlo) methods. An illustration of the proposed methodology is given considering a life- time data set.

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Articles in this issue

DOI: https://doi.org/10.2478/v10127-012-0001-4 | Journal eISSN: 1338-9750 | Journal ISSN: 12103195

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Language: English

Page range: 1 - 9

Published on: Nov 13, 2012

Published by: Slovak Academy of Sciences, Mathematical Institute

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

cure fraction,

mixture model,

non-mixture model,

Weibull distribution,

lifetime data.

Related subjects:

Mathematics,

General mathematics

© 2012 Jorge A. Achcar, Emílio A. Coelho-Barros, Josmar Mazucheli, published by Slovak Academy of Sciences, Mathematical Institute
This work is licensed under the Creative Commons License.

Volume 51 (2012): Issue 1 (April 2012)