LIMIT THEOREMS FOR THE THEORY OF GALTON-WATSON BRANCHING SYSTEMS
DOI:
https://doi.org/10.5281/zenodo.20503697Abstract
Stochastic branching systems are famous mathematical models describe a population size evolution of reproductive individuals. The Galton-Watson model, originally evolved as a family survival model in the second half of the 19th century, is the simple branching system. Modern branching systems models have arisen and progress due to modifications of the Galton-Watson model.References
Johnson N.L., Kotz S., Kemp A.W. (2005). Univariate Discrete Distributions, Wiley.
Athreya K.B., Ney P.E. (2004). Branching Processes. Springer.
Cameron, A.C., Trivedi, P.K. (2013). Regression Analysis of Count Data. Cambridge University Press.
Kingman J.F.C. (1993). Poisson Processes. Oxford University Press.
Hilbe J.M. (2011). Negative Binomial Regression. Cambridge University Press.
McCullagh P., Nelder J.A. (1989). Generalized Linear Models. Chapman&Hall.
Ars Conjectandi by Jacques Bernoulli, published posthumously in 1713.
Borovkov A.A.: Probability Theory. URSS, Moscow, 2009.
Себастъянов Б.А.: Курс теории вероятностей и математическая статистика. Москва, Наука, 1982.
Феллер В.: Введение в теорию вероятностей и ее приложения. Москва, Мир, 1984.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Innovative Academy RSC
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
