不同损失函数下Poisson分布参数的E-Bayes估计及其E-MSE
|
韩明
|
E-Bayesian Estimation and Its E-MSE of Poisson Distribution Parameter Under Different Loss Functions
|
Ming Han
|
|
表 3 $\widehat \lambda_{EBi}$和E-MSE$(\widehat{\lambda}_{EBi})\ (i=1, 2, 3)$的计算结果($\lambda=2$)
|
|
|
$n$ | 20 | 40 | 60 | 80 | 100 | $\widehat\lambda_{EB1}$ | 1.9735 | 1.9882 | 1.9929 | 1.9936 | 1.9941 | $\widehat\lambda_{EB2}$ | 1.9489 | 1.9758 | 1.9846 | 1.9873 | 1.9891 | $\widehat\lambda_{EB3}$ | 1.9247 | 1.9635 | 1.9764 | 1.9811 | 1.9841 | E-MSE$(\widehat\lambda_{EB1})$ | 0.0963 | 0.0491 | 0.0329 | 0.0247 | 0.0197 | E-MSE$(\widehat\lambda_{EB2})$ | 0.0969 | 0.0492 | 0.0330 | 0.0248 | 0.0198 | E-MSE$(\widehat\lambda_{EB3})$ | 0.0987 | 0.0497 | 0.0332 | 0.0249 | 0.0199 |
|
|
|