- Research Grants
Fernando Antonio Moala in research grants and scholarships supported by FAPESP.
Generally, studies of reliability systems in engineering assume independence between times of component failures. However, in many applications we could have correlated failure times and system reliability can be modified by this assumption. This way, we would have two times T1 and T2 failures associated with each component and these times under a bivariate distribution. This problem is...
Gaussian processes jointly with bayesian methods are applied on the estimation of functions, thats it, there is no supposition of a unique parametric functional form underlying the data. In this approach of non-parametric inference, the density function or the function of interest can be estimated without the imposition of any restrictive supposition of its form. The data allow determin...
This project intends to make an application of Bayesian nonparametric method of elicitation of priors proposed by Oakley & O'Hagan (2007), Moala (2009) and Moala & O'Hagan (2010) to estimate the reliability function, considered completely unknown in form, based only on information supplied by the specialist. The objective is the application of Bayesian analysis and its ability to incorp...
(Only some records are available in English at this moment)
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(References retrieved automatically from State of São Paulo Research Institutions)
COLADELLO, Leandro Fernandes. Estimação Bayesiana dos parâmetros da distribuição Exponencial Generalizada Bivariada. 2014. 82f. Dissertação (Mestrado) - Universidade Estadual Paulista "Júlio de Mesquita Filho" Faculdade de Ciências e Tecnologia.
PENHA, Débora Luzia. Inferência bayesiana não-paramétrica para elicitação da função de contabilidade. 2014. 85f. Dissertação (Mestrado) - Universidade Estadual Paulista "Júlio de Mesquita Filho" Faculdade de Ciências e Tecnologia.