EconPapers    
Economics at your fingertips  
 

On the use of Lyapunov function methods in renewal theory

Takis Konstantopoulos and Günter Last

Stochastic Processes and their Applications, 1999, vol. 79, issue 1, 165-178

Abstract: Based on recent results on the exploitation of "drift criteria" for general state-space Markov processes, we derive rates of convergence for (moments of ) processes associated with a renewal process with common inter-renewal time distribution F. Some of the results are classical and some are new, but the proofs are novel and, we believe, useful if one needs to derive convergence results based on the exact form of the tail of F, a typical concern in applications such as implications of long-range dependence in performance of networking systems, reliability analysis or risk theory.

Date: 1999
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304-4149(98)00068-4
Full text for ScienceDirect subscribers only

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:eee:spapps:v:79:y:1999:i:1:p:165-178

Ordering information: This journal article can be ordered from
http://http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

Access Statistics for this article

Stochastic Processes and their Applications is currently edited by T. Mikosch

More articles in Stochastic Processes and their Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:spapps:v:79:y:1999:i:1:p:165-178