期刊论文详细信息
| Data Science Journal | |
| Minimax Estimation of the Parameter of the Rayleigh Distribution under Quadratic Loss Function | |
| Sanku Dey1  | |
| [1] Department of Statistics, St. Anthony's College | |
| 关键词: Bayes estimator; Maximum likelihood estimator; Mean squared error; Minimaxity; Quadratic loss function; Modified Linear-Exponential (MLINEX) Loss function; | |
| DOI : 10.2481/dsj.7.23 | |
| 学科分类:计算机科学(综合) | |
| 来源: Ubiquity Press Ltd. | |
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【 摘 要 】
References(8)This paper is concerned with the problem of finding the minimax estimator of the parameter θ of the Rayleigh distribution for quadratic loss function by applying the theorem of Lehmann (1950).
【 授权许可】
Unknown
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201911300391372ZK.pdf | 947KB |
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