title: Estimation of the parameters of Burr type III distribution based on dual generalized order statistics.
abstract: The estimation of the parameters of Burr type III distribution based on dual generalized order statistics is considered by using the maximum likelihood (ML) approach as well as the Bayesian approach. The exact expression of the expected Fisher information matrix of the parameters in the distribution is obtained. Also, an approximation based on Lindley is used to obtain the Bayes estimator. To compare the maximum likelihood estimator and the Bayes estimator of the parameters, Monte Carlo simulation study is performed.
authors.affiliation: Department of Applied Mathematics, Kongju National University, Gongju 314-701, Republic of Korea.
authors.forename: Chansoo
authors.identifier: 0000-0002-7594-9072
authors.initials: C
authors.lastname: Kim
authors.affiliation: Department of Statistics and Actuarial Science, University of Iowa, Iowa City, IA 52242-1409, USA.
authors.forename: Woosuk
authors.identifier: 0000-0001-8299-0391
authors.initials: W
authors.lastname: Kim
mesh_terms: D008962:Models, Theoretical; D009010:Monte Carlo Method