Objective Priors for Estimation of Extended Exponential Geometric Distribution
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Nov 1, 2014
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Pedro L. Ramos
Universidade de São Paulo, São Paulo, Brazil
Fernando A. Moala
Universidade Estadual Paulista, São Paulo, Brazil
Jorge A. Achcar
Universidade de São Paulo, São Paulo, Brazil
Abstract
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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