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One-Sided Nonparametric Comparison of Treatments with a Standard in the One-Way Layout

 

作者: ChakrabortiS.,   GibbonsJean D.,  

 

期刊: Journal of Quality Technology  （Taylor Available online 1991）
卷期: Volume 23, issue 2  

页码: 102-106

 

ISSN:0022-4065

 

年代: 1991

 

DOI:10.1080/00224065.1991.11979300

 

出版商: Taylor&Francis

 

关键词: Many-One Statistics;Median;Multiple Comparisons;Nonparametric Methods;One-Way Layout;One-Sided Alternatives;Treatments versus Standard

 

数据来源: Taylor

 

摘要:

Nonparametric methods are presented for testing the null hypothesisHo:ξ1=…=ξk=ξo, whereξiis the median of theithpopulation andξois specified, against one-sided alternatives. Several simple tests are described along with a multiple comparisons procedure. These methods are nonparametric analogues to the one-sided parametric methods proposed by Mee, Shah, and Lefante in an earlier issue of this Journal. The parametric and nonparametric methods are illustrated using the same data set.

 

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