| dc.contributor | Universidade Estadual Paulista (UNESP) | |
| dc.creator | Moala, Fernando A. | |
| dc.creator | Garcia, Lívia M. | |
| dc.date | 2014-05-27T11:29:49Z | |
| dc.date | 2016-10-25T18:50:22Z | |
| dc.date | 2014-05-27T11:29:49Z | |
| dc.date | 2016-10-25T18:50:22Z | |
| dc.date | 2013-07-01 | |
| dc.date.accessioned | 2017-04-06T02:28:50Z | |
| dc.date.available | 2017-04-06T02:28:50Z | |
| dc.identifier | Quality Engineering, v. 25, n. 3, p. 282-291, 2013. | |
| dc.identifier | 0898-2112 | |
| dc.identifier | 1532-4222 | |
| dc.identifier | http://hdl.handle.net/11449/75788 | |
| dc.identifier | http://acervodigital.unesp.br/handle/11449/75788 | |
| dc.identifier | 10.1080/08982112.2013.764431 | |
| dc.identifier | WOS:000320223400008 | |
| dc.identifier | 2-s2.0-84879121469 | |
| dc.identifier | http://dx.doi.org/10.1080/08982112.2013.764431 | |
| dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/896520 | |
| dc.description | 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 estimation requires the selection of prior distributions for all parameters of the model. In this case, researchers usually seek to choose a prior that has little information on the parameters, allowing the data to be very informative relative to the prior information. Assuming some noninformative prior distributions, we present a Bayesian analysis using Markov Chain Monte Carlo (MCMC) methods. Jeffreys prior is derived for the parameters of exponential-logarithmic distribution and compared with other common priors such as beta, gamma, and uniform distributions. In this article, we show through a simulation study that the maximum likelihood estimate may not exist except under restrictive conditions. In addition, the posterior density is sometimes bimodal when an improper prior density is used. © 2013 Copyright Taylor and Francis Group, LLC. | |
| dc.language | eng | |
| dc.relation | Quality Engineering | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | Bayesian | |
| dc.subject | exponential-logarithmic distribution | |
| dc.subject | Jeffreys | |
| dc.subject | MCMC | |
| dc.subject | noninformative prior | |
| dc.subject | posterior | |
| dc.subject | Non-informative prior | |
| dc.subject | Maximum likelihood estimation | |
| dc.subject | Bayesian networks | |
| dc.title | A bayesian analysis for the parameters of the exponential-logarithmic distribution | |
| dc.type | Otro | |
