dc.contributor.author | Montgomery-Smith, Stephen, 1963- | eng |
dc.contributor.author | Koldobsky, Alexander, 1955- | eng |
dc.date.issued | 2011 | eng |
dc.description | The final version of this paper appears in: "Statistics and Probability Letters" 28 (1996): 485-490. Print. | eng |
dc.description.abstract | We 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.uri | http://hdl.handle.net/10355/9701 | eng |
dc.relation.ispartof | Mathematics publications (MU) | eng |
dc.relation.ispartofcommunity | University of Missouri-Columbia. College of Arts and Sciences. Department of Mathematics | eng |
dc.subject | Lebesgue's law of dominated convergence | eng |
dc.subject | Stable variables | eng |
dc.subject.lcsh | Variables (Mathematics) | eng |
dc.subject.lcsh | Convergence | eng |
dc.title | Inequalities of correlation type for symmetric stable random vectors | eng |
dc.type | Preprint | eng |