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A Bayesian nonparametric model for Taguchi's on-line quality monitoring procedure for attributes
(ELSEVIER SCIENCE BVAMSTERDAM, 2012)
A Bayesian nonparametric model for Taguchi's on-line quality monitoring procedure for attributes is introduced. The proposed model may accommodate the original single shift setting to the more realistic situation of gradual ...
A Bayesian nonparametric model for Taguchi's on-line quality monitoring procedure for attributes
(2012-09-01)
A Bayesian nonparametric model for Taguchi's on-line quality monitoring procedure for attributes is introduced. The proposed model may accommodate the original single shift setting to the more realistic situation of gradual ...
A Bayesian nonparametric model for Taguchi's on-line quality monitoring procedure for attributes
(2012-09-01)
A Bayesian nonparametric model for Taguchi's on-line quality monitoring procedure for attributes is introduced. The proposed model may accommodate the original single shift setting to the more realistic situation of gradual ...
Comparison between the complete Bayesian method and empirical Bayesian method for ARCH models using Brazilian financial time series
(Sociedade Brasileira de Pesquisa Operacional, 2012-08-01)
In this work we compared the estimates of the parameters of ARCH models using a complete Bayesian method and an empirical Bayesian method in which we adopted a non-informative prior distribution and informative prior ...
Efficient bayesian methods for mixture models with genetic applications
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2016-12-14)
We propose Bayesian methods for selecting and estimating di erent types of mixture models which are widely used in Genetics and Molecular Biology. We speci cally propose data-driven selection and estimation methods for a ...
On estimation and influence diagnostics for log-Birnbaum-Saunders Student-t regression models: Full Bayesian analysis
(ELSEVIER SCIENCE BV, 2010)
The purpose of this paper is to develop a Bayesian approach for log-Birnbaum-Saunders Student-t regression models under right-censored survival data. Markov chain Monte Carlo (MCMC) methods are used to develop a Bayesian ...
Bayesian ratemaking procedure of crop insurance contracts with skewed distribution
(ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2009)
Over the years, crop insurance programs became the focus of agricultural policy in the USA, Spain, Mexico, and more recently in Brazil. Given the increasing interest in insurance, accurate calculation of the premium rate ...
Comparison between the complete Bayesian method and empirical Bayesian method for ARCH models using Brazilian financial time series
(Sociedade Brasileira de Pesquisa Operacional, 2012)
In this work we compared the estimates of the parameters of ARCH models using a complete Bayesian method and an empirical Bayesian method in which we adopted a non-informative prior distribution and informative prior ...
Comparison between the complete Bayesian method and empirical Bayesian method for ARCH models using Brazilian financial time series
(Sociedade Brasileira de Pesquisa Operacional, 2012-08-01)
In this work we compared the estimates of the parameters of ARCH models using a complete Bayesian method and an empirical Bayesian method in which we adopted a non-informative prior distribution and informative prior ...