Buscar
Mostrando ítems 1-10 de 1330
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 ...
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 ...
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. ...
A Note on the Prior Distributions of Weibull Parameters for the Reliability Function
(Taylor & Francis Inc, 2009-01-01)
In Bayesian Inference it is often desirable to have a posterior density reflecting mainly the information from sample data. To achieve this purpose it is important to employ prior densities which add little information to ...
A Note on the Prior Distributions of Weibull Parameters for the Reliability Function
(Taylor & Francis Inc, 2009-01-01)
In Bayesian Inference it is often desirable to have a posterior density reflecting mainly the information from sample data. To achieve this purpose it is important to employ prior densities which add little information to ...
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 ...