摘要
利用中位数排序集样本的次序统计量来构造未知总体中位数的区间估计,证明了新估计具有适应任意分布性,并系统验证了新区间估计的精度一致高于排序集抽样下总体中位数的区间估计。最后将针叶树的一组真实数据进行了实际应用。
The interval estimation for the infinite population median was constructed by using the order statistics of the median ranked set sample, and the new estimator was shown to be distribution-free. In addition, it was proofed analyti-cally the precision of the new interval estimator is higher than the interval estimator of the population median under ranked set sampling. Finally, a practical application was carried out for a real data set related to conifer trees.
出处
《山东大学学报（理学版）》
CAS
CSCD
北大核心
2013年第12期107-110,共4页
Journal of Shandong University(Natural Science)
基金
国家自然科学基金资助项目(11071015)
国家教育部高等学校博士学科点专项科研基金资助项目(20101101110033)
关键词
区间估计
排序集抽样
中位数
interval estimation
ranked set sampling
median
