机构地区: 广东海洋大学理学院
出 处: 《纯粹数学与应用数学》 2009年第4期764-769,773,共7页
摘 要: 在完全随机缺失机制下构造了伽玛分布参数的经验贝叶斯检验函数,并获得了它的渐进最优性.在适当的条件下证明了所提出的经验贝叶斯检验函数收敛速度可任意接近O(n(-1/2)). 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^-1/2) under suitable conditions.