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A New Powerful Nonparametric Rank Test for Ordered Alternative Problem

We propose a new nonparametric test for ordered alternative problem based on the rank difference between two observations from different groups. These groups are assumed to be independent from each other. The exact mean and variance of the test statistic under the null distribution are derived, and...

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Detalles Bibliográficos
Autores principales: Shan, Guogen, Young, Daniel, Kang, Le
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4236087/
https://www.ncbi.nlm.nih.gov/pubmed/25405757
http://dx.doi.org/10.1371/journal.pone.0112924
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author Shan, Guogen
Young, Daniel
Kang, Le
author_facet Shan, Guogen
Young, Daniel
Kang, Le
author_sort Shan, Guogen
collection PubMed
description We propose a new nonparametric test for ordered alternative problem based on the rank difference between two observations from different groups. These groups are assumed to be independent from each other. The exact mean and variance of the test statistic under the null distribution are derived, and its asymptotic distribution is proven to be normal. Furthermore, an extensive power comparison between the new test and other commonly used tests shows that the new test is generally more powerful than others under various conditions, including the same type of distribution, and mixed distributions. A real example from an anti-hypertensive drug trial is provided to illustrate the application of the tests. The new test is therefore recommended for use in practice due to easy calculation and substantial power gain.
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spelling pubmed-42360872014-11-21 A New Powerful Nonparametric Rank Test for Ordered Alternative Problem Shan, Guogen Young, Daniel Kang, Le PLoS One Research Article We propose a new nonparametric test for ordered alternative problem based on the rank difference between two observations from different groups. These groups are assumed to be independent from each other. The exact mean and variance of the test statistic under the null distribution are derived, and its asymptotic distribution is proven to be normal. Furthermore, an extensive power comparison between the new test and other commonly used tests shows that the new test is generally more powerful than others under various conditions, including the same type of distribution, and mixed distributions. A real example from an anti-hypertensive drug trial is provided to illustrate the application of the tests. The new test is therefore recommended for use in practice due to easy calculation and substantial power gain. Public Library of Science 2014-11-18 /pmc/articles/PMC4236087/ /pubmed/25405757 http://dx.doi.org/10.1371/journal.pone.0112924 Text en © 2014 Shan et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Shan, Guogen
Young, Daniel
Kang, Le
A New Powerful Nonparametric Rank Test for Ordered Alternative Problem
title A New Powerful Nonparametric Rank Test for Ordered Alternative Problem
title_full A New Powerful Nonparametric Rank Test for Ordered Alternative Problem
title_fullStr A New Powerful Nonparametric Rank Test for Ordered Alternative Problem
title_full_unstemmed A New Powerful Nonparametric Rank Test for Ordered Alternative Problem
title_short A New Powerful Nonparametric Rank Test for Ordered Alternative Problem
title_sort new powerful nonparametric rank test for ordered alternative problem
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4236087/
https://www.ncbi.nlm.nih.gov/pubmed/25405757
http://dx.doi.org/10.1371/journal.pone.0112924
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