期刊名称：Journal of Modern Applied Statistical Methods
出版年度：2009
卷号：8
期号：1
页码：35
出版社：Wayne State University
摘要：The best linear unbiased estimator (BLUE) for the population mean under moving extreme ranked set sampling (MERSS) is derived for general location and scale parameters of distributions which generalizes Al-Odat and Al-Saleh (2001). It is compared with the sample mean of simple random sampling (SRS). The efficient sample size under the MERSS for which the BLUE estimator dominates the usual sample mean under SRS for estimating the population mean is also computed for several distributions.
关键词：Best linear unbiased estimator; location parameter; scale parameter; moving extreme ranked set sampling; simple random sampling
