DocumentCode
1313656
Title
Bivariate Equilibrium Distribution and Association Measure
Author
Gupta, Ramesh C.
Author_Institution
Dept. of Math. & Stat., Univ. of Maine, Orono, ME, USA
Volume
61
Issue
4
fYear
2012
Firstpage
987
Lastpage
993
Abstract
In this paper, we study the joint distribution of the backward and forward recurrence times in a renewal process, from the reliability point of view. The survival function, the failure rate, and the mean residual life function, are derived, and their monotonicity is discussed for the marginals, as well as the conditional models. We derive a time dependent association measure in terms of the hazard gradient, and its value, in the case of the model under consideration, is obtained. A real-life application is included to illustrate the importance of the model.
Keywords
gradient methods; reliability theory; association measure; backward recurrence times; bivariate equilibrium distribution; failure rate; forward recurrence times; hazard gradient; reliability view point; renewal process; time dependent association measure; Distribution functions; Random variables; Association measure; failure rate; generalized gamma distribution; hazard components; mean residual life function;
fLanguage
English
Journal_Title
Reliability, IEEE Transactions on
Publisher
ieee
ISSN
0018-9529
Type
jour
DOI
10.1109/TR.2012.2221036
Filename
6327633
Link To Document