基于GRSS的均匀分布分位数的估计  

Estimation of Quantiles of Uniform Distribution Based on Generalized Ranked Set Sampling

作　　者：杨婧[1] 宋向东[1] 于尚洋[1] 温育芳[1] 

机构地区：[1]燕山大学理学院,河北秦皇岛066004

出　　处：《佳木斯大学学报（自然科学版）》2007年第6期834-836,共3页Journal of Jiamusi University：Natural Science Edition

摘　　要：主要讨论的是基于ni不固定的广义排序集样本的均匀分布分位数的估计,提出了包括GRSS最小方差无偏估计,简单估计和均衡排序集估计,计算了方差和相关系数,并相互进行了比较.In this paper, the authors consider the generalized ranked set sampling applying in the quantiles estimation of the uniform distribution, three estimators are proposed. These include GRSS minimum variance unbiased estimator, simple estimator and balance ranked set sampling, variances and relative efliciencies are derived. The estimation are compared to the best linear unbiased estimator of the quantities.

关 键 词：均匀分布 次序统计量 线性估计 广义排序集抽样 均衡排序集抽样 

分 类 号：O212.7[理学—概率论与数理统计]