Hostname: page-component-74656f9884-c52kr Total loading time: 0 Render date: 2026-11-08T04:43:08.089Z Has data issue: false hasContentIssue false
  • English
  • Français

Stochastic processes with basic stationary marked point processes

Published online by Cambridge University Press:  01 July 2016

D. König
D. König*
Affiliation:
Bergakademie-Freiberg
Get access Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'

Information

Type
Buffon Bicentenary Symposium on Stochastic Geometry and Directional Statistics
Information
Advances in Applied Probability , Volume 9 , Issue 3 , September 1977 , pp. 440 - 442
Copyright
Copyright © Applied Probability Trust 1977 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

[1] König, D., Rolski, T., Schmidt, V. and Stoyan, D. (1978) Stochastic processes with imbedded marked point processes (PMP) and their application in queueing. Math. Operationsforsch. Statist., ser. Optimization 9 (1).Google Scholar
[2] Kuczura, A. (1973) Piecewise Markov processes. SIAM, J. Appl. Math. 24, 169–181.Google Scholar
[3] Rolski, T. (1977) A relation between imbedded Markov chains in piecewise Markov processes. Bull. Acad. Polon., Ser. Sci. Math. Astron. Phys. (To appear) Google Scholar
[4] König, D., Matthes, K. and Nawrotzki, K. (1967) Verallgemeinerungen der Erlangschen und Engsetschen Formeln. Akademie Verlag, Berlin.Google Scholar
[5] Kerstan, J., Matthes, K. and Mecke, J. (1974) Unbegrenzt Teilbare Punktprozesse, Akademie Verlag, Berlin.Google Scholar
[6] Schmidt, V. (1978) On some relations between stationary time and customer state probabilities for queueing systems G/GI/s/r. Math. Operationsforsch. Statist., ser. Optimization 9 (2).Google Scholar