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Bayesian estimation of generalized exponential distribution under noninformative priors
(Amer Inst Physics, 2012-01-01)
The generalized exponential distribution, proposed by Gupta and Kundu (1999), is a good alternative to standard lifetime distributions as exponential, Weibull or gamma. Several authors have considered the problem of Bayesian ...
Bayesian estimation of generalized exponential distribution under noninformative priors
(Amer Inst Physics, 2012-01-01)
The generalized exponential distribution, proposed by Gupta and Kundu (1999), is a good alternative to standard lifetime distributions as exponential, Weibull or gamma. Several authors have considered the problem of Bayesian ...
A non-homogeneous poisson model with spatial anisotropy applied to ozone data from Mexico City
(Springer, 2015-06-01)
In this work we consider a non-homogenous Poisson model to study the behaviour of the number of times that a pollutant's concentration surpasses a given threshold of interest. Spatial dependence is imposed on the ...
Bayesian Inference Applied to Dynamic Nelson-Siegel Model with Stochastic Volatility
(Sociedade Brasileira de Econometria, 2010)
A Bayesian semi-parametric approach to the ordinal calibration problem
(Taylor & Francis, 2016)
We introduce a semi-parametric Bayesian approach based on skewed Dirichlet processes priors for location parameters in the ordinal calibration problem. This approach allows the modeling of asymmetrical error distributions. ...
Bayesian estimation of generalized exponential distribution under noninformative priors
(Amer Inst Physics, 2014)
Bayesian Estimation for Performance Measures of Two Diagnostic Tests in the Presence of Verification Bias
(TAYLOR & FRANCIS INCNEW YORK, 2010)
Sensitivity and specificity are measures that allow us to evaluate the performance of a diagnostic test. In practice, it is common to have situations where a proportion of selected individuals cannot have the real state ...