Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-26T21:39:00.715Z Has data issue: false hasContentIssue false

Applications of the key renewal theorem: crudely regenerative processes

Published online by Cambridge University Press:  14 July 2016

Richard F. Serfozo*
Affiliation:
Georgia Institute of Technology
*
Postal address: Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332–0205, USA.

Abstract

Limit Statements obtainable by the key renewal theorem are of the form EXt = v(t) + o(1), as t →∞. We show how to delineate the limit function v for processes X associated with crudely regenerative phenomena. Included are refinements of classical limit theorems for Markov and regenerative processes, limits of sums of stationary random variables, and limits for integrals and derivatives of EXt.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1992 

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.)

Footnotes

This research was supported in part by the Air Force Office of Scientific Research under contract 89–0407 and NSF grant DDM-900–7532.

References

[1] Asmussen, S. (1987) Applied Probability and Queues. Wiley, New York.Google Scholar
[2] Feller, W. (1971) An Introduction to Probability Theory and its Applications , Vol. 2, 2nd edn. Wiley, New York.Google Scholar
[3] Franken, P., König, D., Arndt, V. and Schmidt, V. (1981) Queues and Point Processes. Akademie-Verlag, Berlin.Google Scholar
[4] Hinderer, K (1987) Remarks on directly Riemann integrable functions. Math. Nachr. 130, 225230.Google Scholar
[5] Serfozo, R. F. (1972) Semi-stationary processes. Z. Wahrscheinlichkeitsth. 23, 125132.CrossRefGoogle Scholar
[6] Tijms, H. (1986) Stochastic Modelling and Analysis. Wiley, New York.Google Scholar