Classes of orderings of measures and related correlation inequalities II. Multivariate reverse rule distributions

Samuel Karlin and Yosef Rinott

Journal of Multivariate Analysis, 1980, vol. 10, issue 4, 499-516

Abstract: Let X = (X1, X2,..., Xn) be a random vector in Rn (Euclidean n-space) with density f(x). X or f(x) is said to be multivariate reverse rule of order 2 (MRR2) if f(x [curly logical or] y) f(x [curly logical and] y)

Date: 1980
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