A weak version of the joint hazard rate order, useful to stochastically compare not independent random variables, has been recently defined and studied in [4]. In the present paper, further results on this order are proved and discussed. In particular, some statements dealing with the relationships between the jointweak hazard rate order and other stochastic orders are generalized to the case of non symmetric copulas, and its relations with some multivariate aging notions (studied in [2]) are presented. For this purpose, the new notions of Generalized Supermigrative and Generalized Submigrative copulas are defined. Other new results, examples and discussions are provided as well.
@article{bwmeta1.element.doi-10_1515_demo-2016-0010,
author = {Franco Pellerey and Fabio Spizzichino},
title = {Joint weak hazard rate order under non-symmetric copulas},
journal = {Dependence Modeling},
volume = {4},
year = {2016},
zbl = {06639986},
language = {en},
url = {http://dml.mathdoc.fr/item/bwmeta1.element.doi-10_1515_demo-2016-0010}
}
Franco Pellerey; Fabio Spizzichino. Joint weak hazard rate order under non-symmetric copulas. Dependence Modeling, Tome 4 (2016) . http://gdmltest.u-ga.fr/item/bwmeta1.element.doi-10_1515_demo-2016-0010/