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Objective and subjective prior distributions for the gompertz distribution
(2018-07-01)
This paper takes into account the estimation for the unknown parameters of the Gompertz distribution from the frequentist and Bayesian view points by using both objective and subjective prior distributions. We first derive ...
Bayesian analysis of the generalized gamma distribution using non-informative priors
(Taylor & Francis Ltd, 2017-01-01)
The Generalized gamma (GG) distribution plays an important role in statistical analysis. For this distribution, we derive non-informative priors using formal rules, such as Jeffreys prior, maximal data information prior ...
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 ...
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)
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 ...
Elicitation of multivariate prior distributions: A nonparametric Bayesian approach
(Elsevier B.V., 2010-07-01)
In the context of Bayesian statistical analysis, elicitation is the process of formulating a prior density f(.) about one or more uncertain quantities to represent a person's knowledge and beliefs. Several different methods ...
Elicitation of multivariate prior distributions: A nonparametric Bayesian approach
(Elsevier B.V., 2010-07-01)
In the context of Bayesian statistical analysis, elicitation is the process of formulating a prior density f(.) about one or more uncertain quantities to represent a person's knowledge and beliefs. Several different methods ...
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 ...