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- Publisher
- Taylor & Francis
- Copyright
- Copyright Taylor & Francis Group, LLC
- ISSN
- 1532-415X
- eISSN
- 0361-0926
- DOI
- 10.1080/03610920802112891
- Publisher site
- See Article on Publisher Site
Abstract
Reversed hazard rates are found to be very useful in survival and reliability studies especially in cases of parallel systems and left-censored data. We introduce four association measures using reversed hazard rates and mean waiting time. We then study the properties of these measures. Nonparametric estimators of these measures are developed. Finally, the application of these measures is illustrated with two real life data sets.
Journal
Communications in Statistics: Theory and Methods – Taylor & Francis
Published: Sep 22, 2008
Keywords: Association measure; Clayton's dependence measure; Reversed hazard rates; Primary 62H20; Secondary 62N02