You are not currently logged in.
Access JSTOR through your library or other institution:
If You Use a Screen ReaderThis content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Multivariate Conditional Hazard Rates and the MIFRA and MIFR Properties
Moshe Shaked and J. George Shanthikumar
Journal of Applied Probability
Vol. 25, No. 1 (Mar., 1988), pp. 150-168
Published by: Applied Probability Trust
Stable URL: http://www.jstor.org/stable/3214242
Page Count: 19
You can always find the topics here!Topics: Mathematical functions, Random variables, Convexity, Mathematical vectors, Mathematical theorems, Stochastic models, Coordinate systems, Sufficient conditions, Boundary points, Property repairs
Were these topics helpful?See something inaccurate? Let us know!
Select the topics that are inaccurate.
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Preview not available
If T=(T1,⋯,Tn) is a vector of random lifetimes then its distribution can be determined by a set λ of multivariate conditional hazard rates. In this paper, sufficient conditions on λ are found which imply that T is Block-Savits MIFRA (multivariate increasing failure rate average) or Savits MIFR (multivariate increasing failure rate). Applications for a multivariate reliability model of Ross and for load-sharing models are given. The relationship between Shaked and Shanthikumar model of multivariate imperfect repair and the MIFRA property is also discussed.
Journal of Applied Probability © 1988 Applied Probability Trust