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In this paper, the prob lem o f estimating the scale parameter of log gamma distribution under Bayesian and maximu m likelihood framework has been addressed. The uniform and Jeffreys priors have been assumed for posterior analysis. The Bayes estimators and associated risks have been derived under five different loss functions. The credible intervals and highest posterior density intervals have been constructed under each prior. A simulat ion study has been carried out to illustrate thedoi:10.5923/j.statistics.20120205.05 fatcat:iwswdz2pqnfitgc4qbk4l35ari