The Poisson-exponential regression model under different latent activation schemes
| Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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| Data(s) |
30/10/2013
30/10/2013
02/08/2013
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| 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 activation schemes 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. Brazilian organization CNPq Brazilian organization CNPq |
| Identificador |
COMPUTATIONAL & APPLIED MATHEMATICS, SAO CARLOS SP, v. 31, n. 3, supl., Part 3, pp. 617-632, JUN, 2012 0101-8205 http://www.producao.usp.br/handle/BDPI/36686 10.1590/S1807-03022012000300010 |
| Idioma(s) |
eng |
| Publicador |
SOC BRASILEIRA MATEMATICA APLICADA & COMPUTACIONAL SAO CARLOS SP |
| Relação |
COMPUTATIONAL & APPLIED MATHEMATICS |
| Direitos |
openAccess Copyright SOC BRASILEIRA MATEMATICA APLICADA & COMPUTACIONAL |
| Palavras-Chave | #ACTIVATION SCHEMES #EXPONENTIAL DISTRIBUTION #POISSON DISTRIBUTION #SURVIVAL ANALYSIS #DECREASING FAILURE RATE #LIFETIME DISTRIBUTION #CURE RATE #DISTRIBUTIONS #MATHEMATICS, APPLIED |
| Tipo |
article original article publishedVersion |
