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Search: id:"swepub:oai:gup.ub.gu.se/107990" > The mixing advantag...

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  • Jagers, Peter,1941Gothenburg University,Göteborgs universitet,Institutionen för matematiska vetenskaper, matematisk statistik,Department of Mathematical Sciences, Mathematical Statistics,Chalmers tekniska högskola,Chalmers University of Technology,University of Gothenburg (author)

The mixing advantage is less than 2

  • Article/chapterEnglish2009

Publisher, publication year, extent ...

  • 2008-07-11
  • Springer Science and Business Media LLC,2009

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  • LIBRIS-ID:oai:gup.ub.gu.se/107990
  • https://gup.ub.gu.se/publication/107990URI
  • https://doi.org/10.1007/s10687-008-0066-2DOI
  • https://research.chalmers.se/publication/107990URI

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  • Language:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

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  • Corresponding to n independent non-negative random variables X_1,...,X_n , are values M_1,...,M_n , where each M_i is the expected value of the maximum of n independent copies of X_i. We obtain an upper bound for the expected value of the maximum of X_1,...,X_n in terms of M_1,...,M_n . This inequality is sharp in the sense that the random variables can be chosen so that the bound is approached arbitrarily closely. We also present related comparison results.

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  • Hamza, Kais (author)
  • Sudbury, AidanMonash University (author)
  • Tokarev, DanielMonash University (author)
  • Haccou, PatsyChalmers tekniska högskola,Chalmers University of Technology (author)
  • Göteborgs universitetInstitutionen för matematiska vetenskaper, matematisk statistik (creator_code:org_t)

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  • In:Extremes: Springer Science and Business Media LLC12:1, s. 19-311386-19991572-915X

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