Year 2016,
Volume: 4 Issue: 4, 213 - 238, 31.12.2016
Azam Abdurakhimovich Imomov
References
- K.B.Athreya and P.E.Ney, Branching processes. Springer, New York, 1972.
- M.Dwass, ‘The total progeny in a branching process’. Journal in Applied Probability, 6 (1969), 682–686.
- T.E.Harris, Theory of Branching stochastic process. MIR, Moscow, 1966. (in Russian)
- T.E.Harris, ‘Some mathematical models for branching processes’. Proceedings of 2-Berkeley Symposium: Mathematical Statistics and Probability, 1951, 305–328.
- A.A.Imomov, ‘Limit properties of transition function of continuous-time Markov Branching Processes’. International Journal of Stochastic Analysis, 2014 (2014), http://dx.doi.org/10.1155/2014/409345, 10 pages.
- A.A.Imomov, ‘Limit Theorem for the Joint Distribution in the Q-processes’, Journal of Siberian Federal University: Math. and Physics, 7(3) (2014), 289–296.
- A.A.Imomov, ‘On Markov analogue of Q-processes with continuous time’. Theory of Probability and Mathematical Statistics, 84 (2012), 57–64.
- A.A.Imomov, ‘Some asymptotical behaviors of Galton-Watson branching processes under condition of non-extinctinity of it remote future’. Abstracts of Comm. of 8th Vilnius Conference: Probab. Theory and Math. Stat., Vilnius, Lithuania, p.118 (2002).
- P.Jagers, Branching Progresses with Biological applications. Great Britain: John Wiley Sons, Pitman Press, 1975.
- A.V.Karpenko and S.V.Nagaev, ‘Limit theorems for the total number of descendents for the Galton-Watson branching processes’. Theory of Probability and its Applications, 38 (1994), 433–455.
- D.P.Kennedy, ‘The Galton-Watson process conditioned on the total progeny’. Journal in Applied Probability, 12 (1975), 800–806.
- H.Kesten, P.Ney and F.Spitzer, ‘The Galton-Watson process with mean one and finite variance’. Theory of Probability and its Applications, 11(4) (1966), 579–611.
- F.C.Klebaner, U.Rösler and S.Sagitov, ‘Transformations of Galton-Watson processes and linear fractional reproduction’. Advances in Applied. Probability, 39 (2007), 1036–1053.
- V.F.Kolchin, Random mappings. Nauka, Moscow, 1984. (in Russian)
- J.Lamperti and P.E.Ney, ‘Conditioned branching processes and their limiting diffusions’. Theory of Probability and its Applications, 13 (1968), 126–137.
- S.V.Nagaev and R.Muhamedhanova, ‘Limit phenomena in branching stochastic processes with discrete time’. In book Limit theorems and statistical conclusions, Editor: S.H.Sirajdinov. Tashkent, 43–89, 1966. (in Russian)
- A.G.Pakes, ‘Revisiting conditional limit theorems for the mortal simple branching process’. Bernoulli, 5(6) (1999), 969–998.
- A.G.Pakes, ‘Some limit theorems for the total progeny of a branching process’. Advances in Applied Probability, 3 (1971), 176–192.
- E.Seneta, ‘Functional equations and the Galton-Watson process’. Advances in Applied Probability, 1 (1969), 1–42.
- R.S.Slack, ‘A branching process with mean one and possible infinite variance’. Wahrscheinlichkeitstheor. und Verv. Geb., 9(2) (1968), 139–145.
The renewed limit theorems for the discrete-time branching process and its conditioned limiting law interpretation
Year 2016,
Volume: 4 Issue: 4, 213 - 238, 31.12.2016
Azam Abdurakhimovich Imomov
Abstract
Our principal aim is to observe the Markov
discrete-time process of population growth with long-living trajectory. First
we study asymptotical decay of generating function of Galton-Watson process for
all cases as the Basic Lemma. Afterwards we get a Differential analogue of the
Basic Lemma. This Lemma plays main role in our discussions throughout the
paper. Hereupon we improve and supplement classical results concerning
Galton-Watson process. Further we investigate properties of the population
process so called Q-process. In particular we obtain a joint limit law of
Q-process and its total state. And also we prove the analogue of Law of large
numbers and the Central limit theorem for total state of Q-process.
References
- K.B.Athreya and P.E.Ney, Branching processes. Springer, New York, 1972.
- M.Dwass, ‘The total progeny in a branching process’. Journal in Applied Probability, 6 (1969), 682–686.
- T.E.Harris, Theory of Branching stochastic process. MIR, Moscow, 1966. (in Russian)
- T.E.Harris, ‘Some mathematical models for branching processes’. Proceedings of 2-Berkeley Symposium: Mathematical Statistics and Probability, 1951, 305–328.
- A.A.Imomov, ‘Limit properties of transition function of continuous-time Markov Branching Processes’. International Journal of Stochastic Analysis, 2014 (2014), http://dx.doi.org/10.1155/2014/409345, 10 pages.
- A.A.Imomov, ‘Limit Theorem for the Joint Distribution in the Q-processes’, Journal of Siberian Federal University: Math. and Physics, 7(3) (2014), 289–296.
- A.A.Imomov, ‘On Markov analogue of Q-processes with continuous time’. Theory of Probability and Mathematical Statistics, 84 (2012), 57–64.
- A.A.Imomov, ‘Some asymptotical behaviors of Galton-Watson branching processes under condition of non-extinctinity of it remote future’. Abstracts of Comm. of 8th Vilnius Conference: Probab. Theory and Math. Stat., Vilnius, Lithuania, p.118 (2002).
- P.Jagers, Branching Progresses with Biological applications. Great Britain: John Wiley Sons, Pitman Press, 1975.
- A.V.Karpenko and S.V.Nagaev, ‘Limit theorems for the total number of descendents for the Galton-Watson branching processes’. Theory of Probability and its Applications, 38 (1994), 433–455.
- D.P.Kennedy, ‘The Galton-Watson process conditioned on the total progeny’. Journal in Applied Probability, 12 (1975), 800–806.
- H.Kesten, P.Ney and F.Spitzer, ‘The Galton-Watson process with mean one and finite variance’. Theory of Probability and its Applications, 11(4) (1966), 579–611.
- F.C.Klebaner, U.Rösler and S.Sagitov, ‘Transformations of Galton-Watson processes and linear fractional reproduction’. Advances in Applied. Probability, 39 (2007), 1036–1053.
- V.F.Kolchin, Random mappings. Nauka, Moscow, 1984. (in Russian)
- J.Lamperti and P.E.Ney, ‘Conditioned branching processes and their limiting diffusions’. Theory of Probability and its Applications, 13 (1968), 126–137.
- S.V.Nagaev and R.Muhamedhanova, ‘Limit phenomena in branching stochastic processes with discrete time’. In book Limit theorems and statistical conclusions, Editor: S.H.Sirajdinov. Tashkent, 43–89, 1966. (in Russian)
- A.G.Pakes, ‘Revisiting conditional limit theorems for the mortal simple branching process’. Bernoulli, 5(6) (1999), 969–998.
- A.G.Pakes, ‘Some limit theorems for the total progeny of a branching process’. Advances in Applied Probability, 3 (1971), 176–192.
- E.Seneta, ‘Functional equations and the Galton-Watson process’. Advances in Applied Probability, 1 (1969), 1–42.
- R.S.Slack, ‘A branching process with mean one and possible infinite variance’. Wahrscheinlichkeitstheor. und Verv. Geb., 9(2) (1968), 139–145.