期刊论文详细信息
Data Science Journal | |
Bayesian Estimation of Gumbel Type-II Distribution | |
Kamran Abbas1  Yincai Tang1  Jiayu Fu1  | |
[1] School of Finance and Statistics, East China Normal University, Shanghai, China | |
关键词: Bayesian estimator; Maximum likelihood estimator; Lindley's approximation; Monte Carlo simulation; Gumbel type-II distribution; | |
DOI : 10.2481/dsj.13-022 | |
学科分类:计算机科学(综合) | |
来源: Ubiquity Press Ltd. | |
【 摘 要 】
References(19)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.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO201911300987215ZK.pdf | 1209KB | download |