Skip to main navigation Skip to search Skip to main content

Approximations to generalized renewal measures

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Let {Zj,j≥1} be a sequence of nonnegative continuous random variables. Given an arbitrary function g: [0,∞)→ [0,∞), a renewal function associated with this sequence is defined as S(b)=∑j=1g(j)P{Zj<b}, 0. Due to possible complexity of calculating the probabilities P{Zj<b}, computation of S(b) is often intractable. Consider a sequence of positive numbers {mj, j≥1} and define S*(b)=∑j=1 g(j)I{mj<b}. Clearly, S*(b) is much easier to calculate than S(b). We propose S*(b) as an approximation to S(b), and present a bound on the difference between them. Under certain circumstances, our finding is an improvement of a result of Alsmeyer, both in sharpness of the bound and in extension to more general sequences {Zj}. The methods employed are Tauberian in nature.

Original languageEnglish
Pages (from-to)127-142
Number of pages16
JournalStochastic Processes and their Applications
Volume113
Issue number1
DOIs
StatePublished - Sep 2004

Keywords

  • Renewal measure
  • Renewal theory
  • Smith's theorem
  • Tauber's theorem

Fingerprint

Dive into the research topics of 'Approximations to generalized renewal measures'. Together they form a unique fingerprint.

Cite this