The Poisson-exponential regression model under different latent activation schemes
AUTOR(ES)
Louzada, Francisco, Cancho, Vicente G, Barriga, Gladys D.C
FONTE
Comput. Appl. Math.
DATA DE PUBLICAÇÃO
2012
RESUMO
In this paper, a new family of survival distributions is presented. It is derived by considering that the latent number of failure causes follows a Poisson distribution and the time for these causes to be activated follows an exponential distribution. Three different activationschemes are also considered. Moreover, we propose the inclusion of covariates in the model formulation in order to study their effect on the expected value of the number of causes and on the failure rate function. Inferential procedure based on the maximum likelihood method is discussed and evaluated via simulation. The developed methodology is illustrated on a real data set on ovarian cancer. Mathematical subject classification: 62N01, 62N99.
Documentos Relacionados
- The long-term exponentiated complementary exponential geometric distribution under a latent complementary causes framework
- Performance and serum cortisol concentration in Santa Inês lambs under different suckling schemes
- Climate changes and their effects in the public health: use of poisson regression models
- Modelos de regressão beta-binomial/poisson para contagens bivariadas
- Beta-binomial/gamma-Poisson regression models for repeated bivariate counts