期刊名称：Journal of Modern Applied Statistical Methods
出版年度：2016
卷号：15
期号：2
页码：9
出版社：Wayne State University
摘要：The multistage balanced groups ranked set samples (MBGRSS) method is considered for estimating the population mean for samples of size m = 3k where k is a positive real integer. It is compared with the simple random sampling (SRS) and ranked set sampling (RSS) schemes. For the symmetric distributions considered in this study, the MBGRSS estimator is an unbiased estimator of the population mean and it is more efficient than SRS and RSS methods based on the same number of measured units. Its efficiency is increasing in s for fixed value of the sample size, where s is the number of stages. For non symmetric distributions considered in this paper, the MBGRSS estimator is biased. The method is applied in a study of bioleaching.
关键词：Ranked set sampling; simple random sampling; balanced groups; ranked set samples; symmetric and asymmetric distribution
