Hostname: page-component-848d4c4894-nr4z6 Total loading time: 0 Render date: 2024-06-01T00:11:05.840Z Has data issue: false hasContentIssue false

On a theorem of bingham and doney

Published online by Cambridge University Press:  14 July 2016

A. De Meyer*
Affiliation:
Katholieke Universiteit Leuven
*
Postal address: Mathematical Institute, K. U. Leuven, Celestijnenlaan 200B, 3030 Leuven-Heverlee, Belgium.

Abstract

We obtain an extension of a theorem of Bingham and Doney connecting the random variables Z1 and W in the supercritical Galton-Watson process. The regular variation of the distribution of Z1 is equivalent to the regular variation of the tail of the distribution of W for integer values of α > 1.

Type
Short Communications
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] Athreya, K. B. and Ney, P. E. (1973) Branching Processes. Springer-Verlag, Berlin.Google Scholar
[2] Bingham, N. H. and Doney, R. A. (1974) Asymptotic properties of supercritical branching processes I: The Galton–Watson process. Adv. Appl. Prob. 6, 711731.CrossRefGoogle Scholar
[3] Bingham, N. H. and Doney, R. A. (1975) Asymptotic properties of supercritical branching processes II: Crump–Mode and Jirina processes. Adv. Appl. Prob. 7, 6682.Google Scholar
[4] De Haan, L. (1970) On Regular Variation and its Applications to the Weak Convergence of Sample Extremes. Mathematical Centre Tracts 32, Amsterdam.Google Scholar
[5] De Haan, L. (1976) An Abel–Tauber theorem for Laplace transforms. J. London Math. Soc. (2) 17, 102106.Google Scholar
[6] De Meyer, A. and Teugels, J. L. (1980) On the asymptotic behaviour of the distributions of the busy period and service time in M/G/1. J. Appl. Prob. 17, 802813.Google Scholar
[7] Stam, A. J. (1973) Regular variation of the tail of a subordinated probability distribution. Adv. Appl. Prob. 5, 308327.Google Scholar