| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1154428 | Statistics & Probability Letters | 2009 | 9 Pages |
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.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Esther Frostig, Michel Denuit,