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dc.contributor.authorMontgomery-Smith, Stephen, 1963-eng
dc.contributor.authorKoldobsky, Alexander, 1955-eng
dc.date.issued2011eng
dc.descriptionThe final version of this paper appears in: "Statistics and Probability Letters" 28 (1996): 485-490. Print.eng
dc.description.abstractWe point out a certain class of functions f and g for which random variables f(X1,...,Xm) and g(Xm+1,...,Xk) are non-negatively correlated for any symmetric jointly stable random variables Xi. We also show another result that is related to the correlation problem for Gaussian measures of symmetric convex sets.eng
dc.identifier.urihttp://hdl.handle.net/10355/9701eng
dc.relation.ispartofMathematics publications (MU)eng
dc.relation.ispartofcommunityUniversity of Missouri-Columbia. College of Arts and Sciences. Department of Mathematicseng
dc.subjectLebesgue's law of dominated convergenceeng
dc.subjectStable variableseng
dc.subject.lcshVariables (Mathematics)eng
dc.subject.lcshConvergenceeng
dc.titleInequalities of correlation type for symmetric stable random vectorseng
dc.typePreprinteng


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