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A comparison of tests for restricted orderings in thethree-class case

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dc.contributor.author A. Alonzo, Todd
dc.contributor.author T. Nakas, Christos
dc.contributor.author T. Yiannoutsos, Constantin
dc.contributor.author Bucher, Sherri
dc.date.accessioned 2020-03-12T07:38:43Z
dc.date.available 2020-03-12T07:38:43Z
dc.date.issued 2019-01-20
dc.identifier.uri http://ir.mu.ac.ke:8080/jspui/handle/123456789/2990
dc.description.abstract A variety of methods for comparing three distributions have been proposed in the literature. These methodsassess the same null hypothesis of equal distributions but differ in the alternative hypothesis they consider.The alternative hypothesis can be that measurements from the three classes are distributed according tounequal distributions or that measurements between the three classes follow a specific monotone ordering,an inverse-U-shaped (umbrella) ordering, or a U-shaped (tree) ordering. This paper compares these testswith respect to power and test size under different simulation scenarios. In addition, the methods areillustrated in two applications generated by different research questions with data from three classessuggesting monotone and umbrella orders. Additionally, proposals for the appropriate application of thesetests are provided. Copyrightq2009 John Wiley & Sons, Ltd. en_US
dc.language.iso en en_US
dc.publisher ampath en_US
dc.subject on-parametric tests; en_US
dc.subject rdered alternatives en_US
dc.subject umbrella alternatives en_US
dc.subject umbrella ROCvolume en_US
dc.subject volume under the ROC surface en_US
dc.subject area under ROC curv en_US
dc.subject Wilcoxon–Mann–Whitneytest en_US
dc.subject Kruskal–Walis test en_US
dc.title A comparison of tests for restricted orderings in thethree-class case en_US
dc.type Article en_US


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