摘要
序集抽样是一种适用于准确测量花费太高而排序费用可以忽略不记时的一种抽样方法.讨论了序集抽样下的对于一般分布族M估计的相合性和渐近正态性并且通过随机加权的方法来估计M估计的分布.
Ranked-Set Sampling（RSS） is a sampling method when a set of sampling units drawn from the population can be ranked by certain means rather cheaply without the actual measurement of the variable of interest which is costly and/or time consuming. This paper is concerned with the consistency and asymptotic normality on the RSS M-estimates and approximation to its distribution by randomly weighted bootstrap.
出处
《系统科学与数学》
CSCD
北大核心
2009年第5期693-705,共13页
Journal of Systems Science and Mathematical Sciences
基金
国家自然科学基金(10871188)
中国科学院知识创新工程(KJCX3-SYW-S02)资助课题
关键词
序集抽样
M估计
随机加权
渐近正态性
Ranked-Set sampling, M-estimates, randomly weighted bootstrap, asymptotic normality.
