摘要
基于纵向数据下,本文讨论了在平方损失函数下线性指数分布参数的双边检验问题,利用Markov不等式证明了构造的经验贝叶斯双边检验函数具有渐近最优性,并获得了其收敛速度。
In the case of longitudinal data, this paper studies two-side test problem of linear exponential dis-tribution parameters under square loss function. By applying Markov inequality, the EB test rules for parameter of the linear exponential distribution are constructed and the asymptotically optimal property is obtained. Finally, we obtain the convergence rate of the proposed EB test under suitable conditions.
出处
《统计学与应用》
2016年第3期225-231,共7页
Statistical and Application
基金
国家自然科学基金项目(A011103)
数据科学广西高等学校重点实验室资助项目。