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Year 2016, Volume: 4 Issue: 4, 213 - 238, 31.12.2016

Abstract

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

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.
There are 20 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Azam Abdurakhimovich Imomov This is me

Publication Date December 31, 2016
Published in Issue Year 2016 Volume: 4 Issue: 4

Cite

APA Imomov, A. A. (2016). The renewed limit theorems for the discrete-time branching process and its conditioned limiting law interpretation. New Trends in Mathematical Sciences, 4(4), 213-238.
AMA Imomov AA. The renewed limit theorems for the discrete-time branching process and its conditioned limiting law interpretation. New Trends in Mathematical Sciences. December 2016;4(4):213-238.
Chicago Imomov, Azam Abdurakhimovich. “The Renewed Limit Theorems for the Discrete-Time Branching Process and Its Conditioned Limiting Law Interpretation”. New Trends in Mathematical Sciences 4, no. 4 (December 2016): 213-38.
EndNote Imomov AA (December 1, 2016) The renewed limit theorems for the discrete-time branching process and its conditioned limiting law interpretation. New Trends in Mathematical Sciences 4 4 213–238.
IEEE A. A. Imomov, “The renewed limit theorems for the discrete-time branching process and its conditioned limiting law interpretation”, New Trends in Mathematical Sciences, vol. 4, no. 4, pp. 213–238, 2016.
ISNAD Imomov, Azam Abdurakhimovich. “The Renewed Limit Theorems for the Discrete-Time Branching Process and Its Conditioned Limiting Law Interpretation”. New Trends in Mathematical Sciences 4/4 (December 2016), 213-238.
JAMA Imomov AA. The renewed limit theorems for the discrete-time branching process and its conditioned limiting law interpretation. New Trends in Mathematical Sciences. 2016;4:213–238.
MLA Imomov, Azam Abdurakhimovich. “The Renewed Limit Theorems for the Discrete-Time Branching Process and Its Conditioned Limiting Law Interpretation”. New Trends in Mathematical Sciences, vol. 4, no. 4, 2016, pp. 213-38.
Vancouver Imomov AA. The renewed limit theorems for the discrete-time branching process and its conditioned limiting law interpretation. New Trends in Mathematical Sciences. 2016;4(4):213-38.