Asymptotic distribution of two-sample empirical U-quantiles with applications to robust tests for structural change

dc.contributor.authorDehling, Herold
dc.contributor.authorFried, Roland
dc.date.accessioned2010-10-27T11:43:30Z
dc.date.available2010-10-27T11:43:30Z
dc.date.issued2010-10-27
dc.description.abstractWe derive the asymptotical distributions of two-sample U-statistics and two-sample empirical U-quantiles in the case of weakly dependent data. Our results apply to observations that can be represented as functionals of absolutely regular processes, including e.g. many classical time series models as well as data from chaotic dynamical systems. Based on these theoretical results we propose a new robust nonparametric test for the two-sample location problem, which is constructed from the median of pairwise differences between the two samples. We inspect the properties of the test in the case of weakly dependent data and compare the performance with classical tests such as the t-test and Wilcoxon’s two-sample rank test with corrections for dependencies. Simulations indicate that the new test offers better power even than the Wilcoxon test in case of skewed and heavy tailed distributions, if at least one of the two samples is not very large. The test is then applied for detecting shifts of location in some weakly dependent time series, which are contaminated by outliers.en
dc.identifier.urihttp://hdl.handle.net/2003/27440
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-7706
dc.language.isoenen
dc.relation.ispartofseriesDiscussion Paper / SFB 823;43/2010
dc.subjectFunctional of an absolutely regular processen
dc.subjectHodges-Lehmann estimatoren
dc.subjectTwo-sample location problemen
dc.subjectU-statisticen
dc.subjectWeak dependenceen
dc.subject.ddc310
dc.subject.ddc330
dc.subject.ddc620
dc.titleAsymptotic distribution of two-sample empirical U-quantiles with applications to robust tests for structural changeen
dc.typeTextde
dc.type.publicationtypeworkingPaperde
dcterms.accessRightsopen access

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