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On the efficiency of Gini's mean difference

dc.contributor.authorGerstenberger, Carina
dc.contributor.authorVogel, Daniel
dc.contributor.institutionUniversity of Aberdeen.Mathematical Scienceen
dc.contributor.institutionUniversity of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB)en
dc.date.accessioned2015-03-19T15:47:01Z
dc.date.available2015-03-19T15:47:01Z
dc.date.issued2015-11
dc.description18 pages, 3 figures, 8 tables Acknowledgments We are indebted to Herold Dehling for introducing us to the theory of U-statistics, to Roland Fried for introducing us to robust statistics, and to Alexander Dürre, who has demonstrated the benefit of complex analysis for solving statistical problems. Both authors were supported in part by the Collaborative Research Centre 823 Statistical modelling of nonlinear dynamic processes.en
dc.description.statusPeer revieweden
dc.format.extent28
dc.format.extent1435875
dc.identifier62739886
dc.identifier955ac8ba-30e4-4621-96f7-f57d1d654a4e
dc.identifier84947020436
dc.identifier.citationGerstenberger, C & Vogel, D 2015, 'On the efficiency of Gini's mean difference', Statistical Methods & Applications, vol. 24, no. 4, pp. 569-596. https://doi.org/10.1007/s10260-015-0315-xen
dc.identifier.doi10.1007/s10260-015-0315-x
dc.identifier.iss4en
dc.identifier.issn1618-2510
dc.identifier.otherArXiv: http://arxiv.org/abs/1405.5027v1
dc.identifier.otherORCID: /0000-0002-6360-4077/work/77724508
dc.identifier.urihttp://hdl.handle.net/2164/4334
dc.identifier.urlhttp://arxiv.org/abs/1405.5027v1en
dc.identifier.vol24en
dc.language.isoeng
dc.relation.ispartofStatistical Methods & Applicationsen
dc.subjectmath.STen
dc.subjectstat.THen
dc.subject62G35, 62G05, 62G20en
dc.subjectinfluence functionen
dc.subjectmean deviationen
dc.subjectmedian absolute deviationen
dc.subjectnormal mixture distributionen
dc.subjectresidue theoremen
dc.subjectrobustnessen
dc.subjectQA Mathematicsen
dc.subject.lccQAen
dc.titleOn the efficiency of Gini's mean differenceen
dc.typeJournal articleen

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