Objective priors for estimation of extended exponential geometric distribution
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Data
2014-01-01
Autores
Ramos, Pedro L.
Moala, Fernando A. [UNESP]
Achcar, Jorge A.
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Resumo
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 estimates of the parameters of the extended exponential geometric distribution, based on simulated data and a real application.
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Bayesian, Extended exponential geometric distribution, Jeffreys, MDIP, Noninformative, Prior, Reference
Como citar
Journal of Modern Applied Statistical Methods, v. 13, n. 2, p. 226-243, 2014.