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指数一威布尔分布族参数的经验Bayes双侧检验问题
引用本文:朱宁,方爱秋,周志龙. 指数一威布尔分布族参数的经验Bayes双侧检验问题[J]. 汕头大学学报(自然科学版), 2009, 24(2): 8-14
作者姓名:朱宁  方爱秋  周志龙
作者单位:桂林电子科技大学数学与计算科学学院,广西桂林541004
摘    要:当分布的一个形状参数已知时,基于平方损失,研究了独立样本情形指数一威布尔分布另一形状参数的经验Bayes(EB)双边检验问题.利用概率密度函数的核估计,构造参数的检验函数,在一定的条件下证明检验函数的渐进最优性,并获得其收敛速度.

关 键 词:核密度估计  双边检验  经验EB方法  渐进最优性  收敛速度

Convergence Rates of Empirical Bayes Two-sided Test for the Shape Parameter of ExponentiaI-Weibull Families
ZHU Ning,FANG A i-qiu,ZHOU Zhi-long. Convergence Rates of Empirical Bayes Two-sided Test for the Shape Parameter of ExponentiaI-Weibull Families[J]. Journal of Shantou University(Natural Science Edition), 2009, 24(2): 8-14
Authors:ZHU Ning  FANG A i-qiu  ZHOU Zhi-long
Affiliation:(School of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin 541004, Guangxi, China)
Abstract:When one shape parameter is given, the empirical Bayes(EB) two-sided test problem of the other shape parameter for Exponential-Weibull families in the case of independence and identically distributed samples is investigated under the square loss function. By using the kernel-type density estimation, the empirical Bayes two-sided test rules are constructed. The asymptotically optimal property and convergence rates for the proposed EB test rules are obtained under suitable conditions.
Keywords:kernel estimation of density function  two-sided test  empirical Bayes test  asymptotic optimality  convergence rates
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