Статьи

LIMIT THEOREMS FOR THE THEORY OF GALTON-WATSON BRANCHING SYSTEMS

Том 4 № 50 (2026) 4-7

2026-06-02 Статьи CC BY 4.0 Open Access

Авторы

  • Zuhriddin A. Nazarov Technology, Management and Communication Institute in Tashkent. Department of “Languages, Exact and Social Sciences”
  • Munisa O. Ismoilova Technology, Management and Communication Institute in Tashkent. Department of “Languages, Exact and Social Sciences”

Аннотация

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.

Библиографические ссылки

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Athreya K.B., Ney P.E. (2004). Branching Processes. Springer.

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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.

Загрузки

Опубликован

2026-06-02

Выпуск

Том 4 № 50 (2026)

Раздел

Статьи

Лицензия

Copyright (c) 2026 Innovative Academy RSC

Лицензия Creative Commons

Это произведение доступно по лицензии Creative Commons «Attribution» («Атрибуция») 4.0 Всемирная.

Как цитировать

Zuhriddin, A. N., & Munisa, O. I. (2026). LIMIT THEOREMS FOR THE THEORY OF GALTON-WATSON BRANCHING SYSTEMS. Наука и инновации, 4(50), 4-7. https://www.in-academy.uz/index.php/SI/article/view/50768
Innovative Academy RSC
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