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$13579极差
$\widehat{\lambda}_{EB1}$2.82250892.81971482.81692812.81414872.81137650.0111324
$\widehat{\lambda}_{EB2}$2.82201312.81921952.81643322.81365432.81088270.0111304
$\widehat{\lambda}_{EB3}$2.82151732.81872422.81593852.81316002.81038890.0111284
E-MSE$(\widehat{\lambda}_{EB1})$0.00279870.00279320.00278770.00278220.00277672.20e-005
E-MSE$(\widehat{\lambda}_{EB2})$0.00279900.00279340.00278790.00278240.00277692.21e-005
E-MSE$(\widehat{\lambda}_{EB3})$0.00279970.00279420.00278860.00278320.00277772.20e-005