CV Lattes
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Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
bachelor's at Estatística from Universidad Nacional Agraria La Molina (1988), master's at Probability and Statistics from Universidade Estadual de Campinas (1994) and doctorate at Probability and Statistics from Universidade de São Paulo (1999). Has experience in Probability and Statistics, focusing on Parametric Inference, acting on the following subjects: mcmc, lifetime data, estatística industrial, survival data and bayesian analysis. (Source: Lattes Curriculum)
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The focus of this proposal is the transfer of mathematical knowledge to other areas of science, technology and industry, through a structured research center specially tailored for this purpose. All mathematical knowledge is ultimately applicable, if not directly, through other areas of knowledge. In some areas the application of mathematics is almost immediate. However, the practical imp…
We introduce generalized links function for the modelling of binomial and binary responses which can be appropriate when the probability of a given binary response approaches 0 at a different rate than it approaches 1. It is to unbalancing data set. The proposal is based on exponentiated versions of distributions of base and their corresponding reverse distributions. As special case, know…
Frailty models are used for modeling heterogeneity in survival data analysis. In analyzing these data the distribution of frailty in general is assumed continuous. In some cases it may be appropriate to consider the distribution of discrete frailty distributions. Survival data containing experimental units in the event of interest has not happened even after a long period of observation (…
The Weibull negative binomial distribution (BNW) is proposed which generalizes the Weibull geometric distribution (WG) is introduced by Barreto-Souza et al. (2010). Furthermore, we propose a model for survival data with cure fraction, which includes as special cases the traditional models of survival with cure fraction of Berkson & Gage (1952) and Chen et al. (1999). The new propose survi…
The objective of this project is to study characteristics of the Weibull distribution, such as the probability density function, the function of survival, function risk, the fashion and the median. This is a very important distribution used in the analysis of survival. The procedure for estimation of parameter of the model is based on the method of maximum likelihood. We also work in thre…
In this project we propose new models for survival data with and without a fraction of cure. The proposed models arise in a scenario of latent competitive causes (risks), where the number of causes (latent variable) for the occurrence of a particular event of interest is modelled by a power series distribution. For the proposed models, we develop inferential procedures from classical and …
| 1 / 1 | Ongoing research grants |
| 3 / 2 | Completed research grants |
| 3 / 3 | Completed scholarships in Brazil |
| 2 / 2 | Completed scholarships abroad |
| 9 / 8 | All research grants and scholarships |
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