New properties of the orthant convex-type stochastic orders

New properties of the orthant convex-type stochastic orders The orthant convex and concave orders have been studied in the literature as extensions of univariate variability orders. In this paper, new results are proposed for bivariate orthant convex-type orders between vectors. In particular, we prove that these orders cannot be considered as dependence orders since they fail to verify several desirable properties that any positive dependence order should satisfy. Among other results, the relationships between these orders under certain transformations are presented, as well as that the orthant convex orders between bivariate random vectors with the same means are sufficient conditions to order the corresponding covariances. We also show that establishing the upper orthant convex or lower orthant concave orders between two vectors in the same Fréchet class is not equivalent to establishing these orders between the corresponding copulas except when marginals are uniform distributions. Several examples related with concordance measures, such as Kendall’s tau and Spearman’s rho, are also given, as are results on mixture models. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png TEST Springer Journals

New properties of the orthant convex-type stochastic orders

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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2017 by Sociedad de Estadística e Investigación Operativa
Subject
Statistics; Statistics, general; Statistical Theory and Methods
ISSN
1133-0686
eISSN
1863-8260
D.O.I.
10.1007/s11749-017-0527-5
Publisher site
See Article on Publisher Site

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