EconPapers    
Economics at your fingertips  
 

Stochastic processes with an embedded point process and their application to system reliability analysis

Peter Franken and Arnfried Streller
Additional contact information
Peter Franken: Humboldt-Universität zu Berlin
Arnfried Streller: Humboldt-Universität zu Berlin

A chapter in Semi-Markov Models, 1986, pp 253-279 from Springer

Abstract: Abstract In applied probability it is fairly familiar to investigate the temporal behaviour of a certain system considered by means of some appropriately chosen (in general random) embedded epochs. This is the idea of the famous method of an embedded Markov chain due to A.Ya. Khinchin and D.G. Kendall. Furthermore, several well-known classes of stochastic processes such as regenerative, semi-Markov and semi-regenerative processes are bases on the concept of embedded points.

Keywords: Point Process; System Reliability; Sojourn Time; Ergodic Theorem; Marked Point Process (search for similar items in EconPapers)
Date: 1986
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:sprchp:978-1-4899-0574-1_14

Ordering information: This item can be ordered from
http://www.springer.com/9781489905741

DOI: 10.1007/978-1-4899-0574-1_14

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-08-12
Handle: RePEc:spr:sprchp:978-1-4899-0574-1_14