Directional-sum test for nonparametric Behrens-Fisher problem with applications to the dietary intervention trial
Keyword(s):
Type I
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For a nonparametric Behrens-Fisher problem, a directional-sum test is proposed based on division-combination strategy. A one-layer wild bootstrap procedure is given to calculate its statistical significance. We conduct simulation studies with data generated from lognormal, t and Laplace distributions to show that the proposed test can control the type I error rates properly and is more powerful than the existing rank-sum and maximum-type tests under most of the considered scenarios. Applications to the dietary intervention trial further show the performance of the proposed test.
2005 ◽
Vol 65
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pp. 42-50
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2014 ◽
Vol 38
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pp. 109-112
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1988 ◽
Vol 104
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pp. 290-292
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2016 ◽
Vol 15
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pp. 452-471
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