Bivariate dependence properties of order statistics
Journal of Multivariate Analysis
Stochastic Comparison of Random Vectors with a Common Copula
Mathematics of Operations Research
Multivariate hazard rate orders
Journal of Multivariate Analysis
A multivariate dispersion ordering based on quantiles more widely separated
Journal of Multivariate Analysis
GENERALIZED STOCHASTIC CONVEXITY AND STOCHASTIC ORDERINGS OF MIXTURES
Probability in the Engineering and Informational Sciences
Correction To “Dependence, Dispersiveness, And Multivariate Hazard Rate Ordering”
Probability in the Engineering and Informational Sciences
Some new results on multivariate dispersive ordering of generalized order statistics
Journal of Multivariate Analysis
Models based on partial information about survival and hazard gradient
Probability in the Engineering and Informational Sciences
New multivariate orderings based on conditional distributions
Applied Stochastic Models in Business and Industry
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To compare two multivariate random vectors of the same dimension, we define a new stochastic order called upper orthant dispersive ordering and study its properties. We study its relationship with positive dependence and multivariate hazard rate ordering as defined by Hu, Khaledi, and Shaked (Journal of Multivariate Analysis, 2002). It is shown that if two random vectors have a common copula and if their marginal distributions are ordered according to dispersive ordering in the same direction, then the two random vectors are ordered according to this new upper orthant dispersive ordering. Also, it is shown that the marginal distributions of two upper orthant dispersive ordered random vectors are also dispersive ordered. Examples and applications are given.