Hostname: page-component-cd9895bd7-7cvxr Total loading time: 0 Render date: 2024-12-23T13:38:58.743Z Has data issue: false hasContentIssue false

The behavior of the renewal sequence in case the tail of the waiting-time distribution is regularly varying with index −1

Published online by Cambridge University Press:  01 July 2016

J. B. G. Frenk*
Affiliation:
Erasmus University, Rotterdam
*
Postal address: Erasmus Universiteit Rotterdam, Faculteit der Economische Wetenschappen, Postbus 1738, 3000 DR Rotterdam, The Netherlands.

Abstract

A second-order asymptotic result for the probability of occurrence of a persistent and aperiodic recurrent event is given if the tail of the distribution of the waiting time for this event is regularly varying with index −1.

Type
Research Article
Copyright
Copyright © Applied Probability Trust 1982 

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.)

References

[1] Borovkov, A. A. (1976) Stochastic Processes in Queueing Theory. Springer-Verlag, New York.Google Scholar
[2] De Haan, L. (1970) On Regular Variation and its Application to the Weak Convergence of Sample Extremes. Mathematical Centre Tract 32, Amsterdam.Google Scholar
[3] De Haan, L. and Resnick, S. I. (1979) Conjugate p-variation and process inversion. Ann. Prob. 7, 10281035.Google Scholar
[4] Erdös, P., Pollard, H. and Feller, W. (1949) A property of power series with positive coefficients. Bull. Amer. Math. Soc. 55, 201204.Google Scholar
[5] Erickson, K. B. (1970) Strong renewal theorems with infinite mean. Trans. Amer. Math. Soc. 151, 263291.Google Scholar
[6] Feller, W. (1970) An Introduction to Probability Theory and its Applications, Vol. 1. Wiley, New York.Google Scholar
[7] Frenk, J. B. G. (1982) Renewal functions and regular variation.Google Scholar
[8] Garsia, A. and Lamperti, J. (1962/63) A discrete renewal theorem with infinite mean. Comment. Math. Helv. 37, 221234.Google Scholar
[9] Kawata, T. (1972) Fourier Analysis in Probability Theory. Academic Press, New York.Google Scholar
[10] Kolmogorov, A. N. (1937) Markov chains with a countable number of possible states (in Russian). Bull. Mosk. Gos. Univ. Math. Mekh. 1 (3), 115.Google Scholar
[11] Niculescu, S. P. (1979) Extension of a renewal theorem. Bull. Math. Soc. Sci. Math. R.S. Romania 3, 289292.Google Scholar
[12] Pitman, E. J. G. (1968) On the behaviour of the characteristic function of a probability distribution in the neighbourhood of the origin. J. Austral. Math. Soc. 8, 423443.Google Scholar
[13] Rogozin, B. A. (1973) An estimate of the remainder term in limit theorems of renewal functions. Theory Prob. Appl. 18, 662677.CrossRefGoogle Scholar
[14] Weissman, I. (1976) A note on Bojanic-Seneta theory of regularly varying functions. Math. Z. 151, 2930.CrossRefGoogle Scholar
[15] Widder, D. V. (1972) The Laplace Transform. Princeton University Press.Google Scholar