Hostname: page-component-5c6d5d7d68-vt8vv Total loading time: 0.001 Render date: 2024-08-06T14:14:10.925Z Has data issue: false hasContentIssue false

Multitype branching processes based on exact progeny lengths of particles in a Galton-Watson branching process

Published online by Cambridge University Press:  14 July 2016

V. G. Gadag*
Affiliation:
University of Poona
M. B. Rajarshi*
Affiliation:
University of Poona
*
On study leave from University of Poona. Presently at Department of Mathematics, Statistics and Computing Science, Dalhousie University, Halifax, N.S. Canada, B3H 3J5.
∗∗Postal address: Department of Statistics, University of Poona, Pune 411007, India.

Abstract

In Gadag and Rajarshi (1987), we studied a bivariate (multitype) branching process based on infinite and finite lines of descent, of particles of a supercritical one-dimensional (multitype) Galton-Watson branching process (GWBP). In this paper, we discuss a few more meaningful and interesting univariate and multitype branching processes, based on exact progeny lengths of particles in a GWBP. Our constructions relax the assumption of supercriticality made in Gadag and Rajarshi (1987). We investigate some finite-time and asymptotic results of these processes in some details and relate them to the original process. These results are then used to propose new and better estimates of the offspring mean. An illustration based on the branching process of the white male population of the USA is also given. We believe that our work offers a rather finer understanding of the branching property.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1989 

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

Athreya, K. B. and Ney, P. E. (1972) Branching Processes. Springer-Verlag, Berlin.Google Scholar
Buhler, W. (1969) Ein zentraler Grenzwertsatz fur Verzweigungsprozesse. Z. Wahrscheinlichkeitsth. 11, 139141.Google Scholar
Dion, J. P. (1974) Estimation of the mean and the initial probabilities of the branching processes. J. Appl. Prob. 11, 687694.Google Scholar
Feigin, P. D. (1977) A note on maximum likelihood estimation for simple branching processes. Austral. J. Statist. 19, 152154.Google Scholar
Gadag, V. G. (1986) A study of the conditioned and progeny length based processes associated with branching processes. Doctoral thesis, University of Poona, Pune (unpublished).Google Scholar
Gadag, V. G. (1988) On processes associated with Galton-Watson branching process. Proc. VIII Annual Conf. ISPS 1, 6069.Google Scholar
Gadag, V. G. and Rajarshi, M. B. (1987) On multi-type processes based on progeny lengths of particles of a super-critical Galton-Watson process. J. Appl. Prob. 24, 1424.CrossRefGoogle Scholar
Harris, T. E. (1948) Branching processes. Ann. Math. Statist. 19, 474494.CrossRefGoogle Scholar
Harris, T. E. (1963) The Theory of Branching Processes. Springer-Verlag, New York.Google Scholar
Heyde, C. C. (1975) Remarks on efficiency in estimation for branching processes. Biometrika 62, 4955.Google Scholar
Jagers, P. (1975) Branching Processes with Biological Applications. Wiley, New York.Google Scholar
Karlin, S. and Taylor, H. M. (1975) A First Course in Stochastic Processes , 2nd edn. Academic Press, New York.Google Scholar
Keiding, N. and Lauritzen, S. (1978) Marginal maximum likelihood estimates and estimation of offspring mean in a branching process. Scand. J. Statist. 5, 106110.Google Scholar
Lotka, A. J. (1931) The extinction of families: I and II. J. Wash. Acad. Sci. 21, 377380 and 453459.Google Scholar
Lotka, A. J. (1939) A contribution to the theory of self-renewing aggregates with special reference to industrial replacement. Ann. Math. Statist. 10, 125.CrossRefGoogle Scholar
Mode, C. J. (1971) Multitype Branching Processes. Elsevier, New York.Google Scholar