Objective Bayesian Analysis for the Lomax Distribution

Autor: Ferreira, Paulo, Gonzales, Jhon, Tomazella, Vera, Ehlers, Ricardo, Louzada, Francisco, Silva, Eveliny
Rok vydání: 2016
Předmět:
Druh dokumentu: Working Paper
Popis: In this paper we propose to make Bayesian inferences for the parameters of the Lomax distribution using non-informative priors, namely the Jeffreys prior and the reference prior. We assess Bayesian estimation through a Monte Carlo study with 500 simulated data sets. To evaluate the possible impact of prior specification on estimation, two criteria were considered: the bias and square root of the mean square error. The developed procedures are illustrated on a real data set.
Databáze: arXiv