Nonparametric two-sample tests for increasing convex order

dc.creatorBaringhaus, Ludwig
dc.creatorGrübel, Rudolf
dc.date2009-02-09
dc.date.accessioned2026-07-07T12:39:29Z
dc.date.available2026-07-07T12:39:29Z
dc.descriptionGiven two independent samples of non-negative random variables with unknown distribution functions $F$ and $G$, respectively, we introduce and discuss two tests for the hypothesis that $F$ is less than or equal to $G$ in increasing convex order. The test statistics are based on the empirical stop-loss transform, critical values are obtained by a bootstrap procedure. It turns out that for the resampling a size switching is necessary. We show that the resulting tests are consistent against all alternatives and that they are asymptotically of the given size $α$. A specific feature of the problem is the behavior of the tests `inside' the hypothesis, where $F\not=G$. We also investigate and compare this aspect for the two tests.
dc.descriptionPublished in at http://dx.doi.org/10.3150/08-BEJ151 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm)
dc.identifierhttps://arxiv.org/abs/0902.1439
dc.identifierhttp://arxiv.org/abs/0902.1439
dc.identifierBernoulli 2009, Vol. 15, No. 1, 99-123
dc.identifierdoi:10.3150/08-BEJ151
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/219126
dc.subjectStatistics Theory
dc.titleNonparametric two-sample tests for increasing convex order
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