不同损失函数下Poisson分布参数的E-Bayes估计及其E-MSE
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韩明
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E-Bayesian Estimation and Its E-MSE of Poisson Distribution Parameter Under Different Loss Functions
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Ming Han
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表 1 ˆλEBi和E-MSE (ˆλEBi) (i=1,2,3)的计算结果(λ=0.5)
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n | 20 | 40 | 60 | 80 | 100 | ˆλEB1 | 0.5074 | 0.5057 | 0.5049 | 0.5022 | 0.5015 | ˆλEB2 | 0.4873 | 0.4932 | 0.4966 | 0.4960 | 0.4964 | ˆλEB3 | 0.4636 | 0.4810 | 0.4884 | 0.4898 | 0.4915 | E-MSE(ˆλEB1) | 0.0250 | 0.0125 | 0.0083 | 0.0062 | 0.0048 | E-MSE(ˆλEB2) | 0.0256 | 0.0126 | 0.0084 | 0.0063 | 0.0050 | E-MSE(ˆλEB3) | 0.0274 | 0.0131 | 0.0086 | 0.0064 | 0.0051 |
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