文章基本信息

标题：Bayes Estimation of the Mean of Normal Distribution Using Moving Extreme Ranked Set Sampling
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作者：Amer Al-Omari ; Said Al-Hadhrami
期刊名称：Pakistan Journal of Statistics and Operation Research
印刷版ISSN：2220-5810
出版年度：2012
卷号：8
期号：1
页码：21-30
DOI：10.1234/pjsor.v8i1.227
语种：English
出版社：College of Statistical and Actuarial Sciences
摘要：Moving extreme ranked set sampling (MERSS) is one of useful modifications of ranked set sampling (RSS). The method has been investigated by many authors and proved to be a good competitor to simple random sampling (SRS). In this paper, Bayes estimation of the mean of normal distribution based on MERSS is considered and compared with SRS counterpart. The suggested estimators are found to be more efficient than that from SRS.