Paper Info
Title
Reliability properties of bivariate conditional proportional hazard rate models
Abstract
In this paper, we study reliability properties in two classes of bivariate continuous distributions based on specification of conditional hazard functions. These classes were constructed by conditioning on two different kinds of events in Arnold and Kim [6]. Several reliability properties are studied here including survival and hazard bivariate functions, hazard components, the Clayton-Oakes measure, and conditional densities and hazard rate functions of the marginal and conditional distributions. We also study properties for the series and parallel systems with component lifetimes having these particular dependence models.
Year
DOI
Venue
2013
10.1016/j.jmva.2011.03.009
J. Multivariate Analysis
Keywords
Field
DocType
rate model,conditional density,failure rate,dependence measures,hazard gradient,hazard rate function,reliability property,clayton-oakes measure,bivariate conditional proportional hazard,hazard component,hazard bivariate function,bivariate exponential distribution,bivariate continuous distribution,conditional distribution,62h05,conditional hazard function,conditionally specified distributions,different kind,62e10
Econometrics,Conditional probability distribution,Failure rate,Continuous distributions,Conditioning,Bivariate analysis,Statistics,Mathematics,Hazard ratio
Journal
Volume
ISSN
Citations 
113,
Journal of Multivariate Analysis
3
PageRank 
References 
Authors
0.61
0
2
Name
Order
Citations
PageRank
Jorge Navarro19417.78
José María Sarabia2367.61