完全随机缺失机制下伽玛分布中形状参数的经验贝叶斯推断

完全随机缺失机制下伽玛分布中形状参数的经验贝叶斯推断

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2000MSC:62C12

Empirical Bayes inference for scale parameter of Gamma distribution with MCAR

LI Nai-yi1,LIU Hua-xiang1,CHEN Ru-yun1,DU Jun2
(1.School of Science,Guangdong Ocean,Zhanjiang524088,China;
2.College of Economics and Management,Guangdong Ocean,Zhanjiang524088,China)

In MCAR,the Empirical Bayes two-sided test rules for parameter of the gamma distribution family are constructed,and the asymptotically optimal property is obtained.It is shown that the convergence rates of the proposed EB test rules can arbitrarily close to O(n−21)under suitable conditions.

MCAR,Empirical Bayes test,asympototic optimality,convergence rates