摘要
讨论了Lomax分布参数的经验Bayes的单边和双边检验问题.对于两两NQD样本序列,利用核函数估计方法给出了检验函数.证明了检验函数是渐近最优的,并在适当的条件下得到了其收敛速度.
In this paper,the one-sided and two-sided test problem for parameters of the Lomax distribution were investigated through the empirical Bayes（EB） approach,The EB test function was constructed by using the kernel-type estimation for Negative Quadrant Dependent（NQD）samples,and the convergence rates for the EB test function was obtained under suitable conditions.The results show that EB test function is asymptotically optimal.
出处
《数学的实践与认识》
北大核心
2016年第17期189-195,共7页
Mathematics in Practice and Theory
