A BIVARIATE GENERALIZED EXPONENTIAL DISTRIBUTION DERIVED FROM COPULA FUNCTIONS IN THE PRESENCE OF CENSORED DATA AND COVARIATES

Pesquisa Operacional

Jorge Alberto Achcar¹  Fernando Antônio Moala¹  Mario Hissamitsu Tarumoto¹  Leandro Fernandes Coladello¹ 

关键词: Bivariate generalized exponential distribution;    copula function;    Bayesian analysis;    censored data;    covariates;   

DOI  :  10.1590/0101-7438.2015.035.01.0165

来源: SciELO

【 摘 要 】

In this paper, we introduce a Bayesian analysis for a bivariate generalized exponential distribution in the presence of censored data and covariates derived from Copula functions. The generalized exponential distribution could be a good alternative to analyze lifetime data in comparison to usual existing parametric lifetime distributions as Weibull or Gamma distributions. We have being using standard existing MCMC (Markov Chain Monte Carlo) methods to simulate samples for the joint posterior of interest. Two examples are introduced to illustrate the proposed methodology: an example with simulated bivariate lifetime data and an example with a real lifetime data set.

【 授权许可】

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