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 2 $\widehat \lambda_{EBi}$和E-MSE$(\widehat{\lambda}_{EBi})\ (i=1, 2, 3)$的计算结果($\lambda=1$)

$n$ 20 40 60 80 100 $\widehat\lambda_{EB1}$ 0.9977 1.0003 0.9988 0.9997 0.9999 $\widehat\lambda_{EB2}$ 0.9730 0.9879 0.9905 0.9936 0.9947 $\widehat\lambda_{EB3}$ 0.9489 0.9756 0.9823 0.9874 0.9898 E-MSE$(\widehat\lambda_{EB1})$ 0.0487 0.0247 0.0165 0.0124 0.0099 E-MSE$(\widehat\lambda_{EB2})$ 0.0493 0.0249 0.0166 0.0125 0.0100 E-MSE$(\widehat\lambda_{EB3})$ 0.0511 0.0253 0.0168 0.0126 0.0101