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In this paper we propose to make Bayesian inferences for the parameters ofthe Lomax distribution using non-informative priors, namely the Jeffreys priorand the reference prior. We assess Bayesian estimation through a Monte Carlostudy with 500 simulated data sets. To evaluate the possible impact of priorspecification on estimation, two criteria were considered: the bias and squareroot of the mean square error. The developed procedures are illustrated on areal data set.

Objective Bayesian Analysis for the Lomax Distribution