Research Papers
Bayesian Estimation of Gumbel Type-II Distribution
Authors:
Kamran Abbas ,
School of Finance and Statistics, East China Normal University, Shanghai 200241, China
Department of Statistics, University of Azad Jammu and Kashmir, Muzaffarabad, Pakistan
Jiayu Fu,
School of Finance and Statistics, East China Normal University, Shanghai 200241, China
Yincai Tang
School of Finance and Statistics, East China Normal University, Shanghai 200241, China
Abstract
In this paper we consider the Bayesian estimators for the unknown parameters of Gumbel type-II distribution. The Bayesian estimators cannot be obtained in closed forms. Approximate Bayesian estimators are computed using the idea of Lindley’s approximation under different loss functions. The approximate Bayes estimates obtained under the assumption of non-informative priors are compared with their maximum likelihood counterparts using Monte Carlo simulation. A real data set is analyzed for illustrative purpose.
How to Cite:
Abbas, K., Fu, J. & Tang, Y., (2013). Bayesian Estimation of Gumbel Type-II Distribution. Data Science Journal. 12, pp.33–46. DOI: http://doi.org/10.2481/dsj.13-022
Published on 04 Aug 2013.
Peer Reviewed
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