On General Multivariate Mixture Models

Autor: Xiaoliang Ling, Peng Zhao
Rok vydání: 2014
Předmět:
Zdroj: Communications in Statistics - Theory and Methods. 43:4223-4240
ISSN: 1532-415X
0361-0926
DOI: 10.1080/03610926.2012.724508
Popis: In this article, we focus our attention on the general multivariate mixture model. We drive the relationship between the conditional and the unconditional reliability measures such as the hazard gradient, reversed hazard gradient, multivariate mean residual life, and multivariate reversed mean residual life. We present some sufficient conditions under which we can stochastically compare those vectors of general multivariate mixture models in the senses of various stochastic orderings.
Databáze: OpenAIRE