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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 ...
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2008-07-11
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Springer Science and Business Media LLC,2009
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LIBRIS-ID:oai:gup.ub.gu.se/107990
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https://gup.ub.gu.se/publication/107990URI
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https://doi.org/10.1007/s10687-008-0066-2DOI
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https://research.chalmers.se/publication/107990URI
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Subject category:ref swepub-contenttype
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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)
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Sudbury, AidanMonash University
(author)
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Tokarev, DanielMonash University
(author)
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Haccou, PatsyChalmers tekniska högskola,Chalmers University of Technology
(author)
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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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