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dc.contributor.authorMontgomery-Smith, Stephen, 1963-eng
dc.contributor.authorKoldobsky, Alexander, 1955-eng
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.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.titleInequalities of correlation type for symmetric stable random vectorseng

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