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 6 $\widehat\lambda_{EBi}\ (i=1, 2, 3)$和E-MSE$(\widehat{\lambda}_{EBi})\ (i=1, 2, 3)$的计算结果

$c$ 1 3 5 7 9 极差 $\widehat{\lambda}_{EB1}$ 2.8225089 2.8197148 2.8169281 2.8141487 2.8113765 0.0111324 $\widehat{\lambda}_{EB2}$ 2.8220131 2.8192195 2.8164332 2.8136543 2.8108827 0.0111304 $\widehat{\lambda}_{EB3}$ 2.8215173 2.8187242 2.8159385 2.8131600 2.8103889 0.0111284 E-MSE$(\widehat{\lambda}_{EB1})$ 0.0027987 0.0027932 0.0027877 0.0027822 0.0027767 2.20e-005 E-MSE$(\widehat{\lambda}_{EB2})$ 0.0027990 0.0027934 0.0027879 0.0027824 0.0027769 2.21e-005 E-MSE$(\widehat{\lambda}_{EB3})$ 0.0027997 0.0027942 0.0027886 0.0027832 0.0027777 2.20e-005