Stochastic comparisons of multivariate mixture models

In this paper we consider sufficient conditions in order to stochastically compare random vectors of multivariate mixture models. In particular we consider stochastic and convex orders, the likelihood ratio order, and the hazard rate and mean residual life dynamic orders. Applications to proportional hazard models and mixture models in risk theory are also given.

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Year of publication:	2009
Authors:	Belzunce, Félix ; Mercader, José-Angel ; Ruiz, José-María ; Spizzichino, Fabio
Published in:	Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 100.2009, 8, p. 1657-1669
Publisher:	Elsevier
Keywords:	Multivariate stochastic Convex Directionally convex Ultramodular Supermodular Likelihood ratio Hazard rate and mean residual life orders Multivariate mixture models

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005006465