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Non-informative priors in GUM Supplement 1
(ELSEVIER SCI LTD, 2011)
Supplement 1 to the 'Guide to the Expression of Uncertainty in Measurement' (GUM S1) proposes a Monte Carlo method for the propagation of the probability density functions (PDFs) assigned to the input quantities that are ...
Bayesian inference for two-parameter gamma distribution assuming different noninformative priors
(Univ Nac Colombia, Dept Estadistica, 2013-12-01)
In this paper distinct prior distributions are derived in a Bayesian inference of the two-parameters Gamma distribution. Noniformative priors, such as Jeffreys, reference, MDIP, Tibshirani and an innovative prior based on ...
A bayesian analysis for the parameters of the exponential-logarithmic distribution
(2013-07-01)
The exponential-logarithmic is a new lifetime distribution with decreasing failure rate and interesting applications in the biological and engineering sciences. Thus, a Bayesian analysis of the parameters would be desirable. ...
A bayesian analysis for the parameters of the exponential-logarithmic distribution
(2013-07-01)
The exponential-logarithmic is a new lifetime distribution with decreasing failure rate and interesting applications in the biological and engineering sciences. Thus, a Bayesian analysis of the parameters would be desirable. ...
Bayesian inference for two-parameter gamma distribution assuming different noninformative priors
(Univ Nac Colombia, Dept Estadistica, 2014)
Bayesian inference for two-parameter gamma distribution assuming different noninformative priors
(Univ Nac Colombia, Dept Estadistica, 2014)
Generalized exponential distribution: A Bayesian approach using MCMC methods
(2015-12-01)
The generalized exponential distribution could be a good option to analyse lifetime data, as an alternative for the use of standard existing lifetime distributions as exponential, Weibull or gamma distributions. Assuming ...
Objective priors for estimation of extended exponential geometric distribution
(2014-01-01)
A Bayesian analysis was developed with different noninformative prior distributions such as Jeffreys, Maximal Data Information, and Reference. The aim was to investigate the effects of each prior distribution on the posterior ...
On the choice of a noninformative prior for bayesian inference of discretized normal observations
(PHYSICA-VERLAG HEIDELBERG, 2012)