EconPapers    
Economics at your fingertips  
 

On the Limitations of Multivariate Phase-Type Families

Colm A. O'Cinneide
Additional contact information
Colm A. O'Cinneide: University of Arkansas, Fayetteville, Arkansas

Operations Research, 1990, vol. 38, issue 3, 519-526

Abstract: Consider a finite set of independent phase-type random variables. Suppose that we construct a random vector, each component of which is a total over a subset of this set. In 1984, D. Assaf et al. conjectured that such a vector need not have a multivariate phase-type distribution, and they provided a sufficient condition for the distribution to be of that type. We confirm their conjecture, and show that their sufficient condition is also essentially necessary. An open question of V. G. Kulkarni is whether or not his extension of the multivariate phase-type family is closed under familiar operations arising in reliability. This question is answered here in the negative.

Keywords: probability; distributions: phase-type distributions; probability; Markov processes: joint distribution of hitting times; reliability; coherent structures: joint distribution of failure times (search for similar items in EconPapers)
Date: 1990
References: Add references at CitEc
Citations:

Downloads: (external link)
http://dx.doi.org/10.1287/opre.38.3.519 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:38:y:1990:i:3:p:519-526

Access Statistics for this article

More articles in Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().

 
Page updated 2025-03-19
Handle: RePEc:inm:oropre:v:38:y:1990:i:3:p:519-526