Abstract
In many applications, common factors influence a set of failure (or survival) times of interest. This is, for instance, the case in mortality analysis, where mortality is influenced by socio-economic and health factors, or in the analysis of time-to-failure observations, where the items are functioning under similar conditions. This paper aims to answer the following question: is it true that more positively dependent factors generate more positively dependent outcomes? The analysis is conducted with the help of various stochastic order relations.
Original language | English |
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Pages (from-to) | 487-495 |
Number of pages | 9 |
Journal | Statistics and Probability Letters |
Volume | 79 |
Issue number | 4 |
DOIs | |
State | Published - 15 Feb 2009 |
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty