首页   按字顺浏览 期刊浏览 卷期浏览 An Adaptive Procedure for Selecting the Population With Largest Location Parameter
An Adaptive Procedure for Selecting the Population With Largest Location Parameter

 

作者: RonaldH. Randles,   JohnS. Ramberg,   RobertV. Hogg,  

 

期刊: Technometrics  （Taylor Available online 1973）
卷期: Volume 15, issue 4  

页码: 769-778

 

ISSN:0040-1706

 

年代: 1973

 

DOI:10.1080/00401706.1973.10489110

 

出版商: Taylor & Francis Group

 

关键词: Selection Procedure;Adaptive Inference;Location Parameters;Multiple-Decision Procedure;Monte Carlo

 

数据来源: Taylor

 

摘要:

An adaptive procedure for selecting the population with the largest (smallest) location parameter is given. A Monte Carlo sampling study is presented indicating that this procedure performs as well as the means procedure when the underlying distribution is medium tailed like the normal. It is shown to be superior to both the means procedure and the rank sum procedure when the underlying distribution is either very light tailed (e.g., the uniform distribution) or very heavy tailed (e.g., the Cauchy distribution).

 

点击下载:  PDF (739KB)



返 回