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 :
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