Email this article Mathematical methods for the analysis of migration processes on the basis of demographic data
- Authors: Butusov O.B.1,2,3, Nikiforova O.P.1,2,3, Redikultseva N.I.1,2,3
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Affiliations:
- Moscow State University of Mechanical Engineering (MAMI)
- State University of Management
- Moscow University for the Humanities
- Issue: Vol 9, No 1-4 (2015)
- Pages: 21-25
- Section: Articles
- URL: https://journals.rcsi.science/2074-0530/article/view/67102
- DOI: https://doi.org/10.17816/2074-0530-67102
- ID: 67102
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Abstract
The problem of mathematical analysis of demographic data was investigated for data, where information on migration flows is taken into account implicitly. Regression techniques, neural networks and stochastic analysis were used for the mathematical analysis of demographic processes. Two age groups were considered: young (0 - 39 years) and elderly (40 - 70 years). While development of stochastic models the theory of Markov chains and transition matrix were used. The parameterization and model identification were conducted according to Rosstat data.
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##article.viewOnOriginalSite##About the authors
O. B. Butusov
Moscow State University of Mechanical Engineering (MAMI); State University of Management; Moscow University for the Humanities
Email: butusov-1@mail.ru
+7 495 682-20-53
O. P. Nikiforova
Moscow State University of Mechanical Engineering (MAMI); State University of Management; Moscow University for the Humanities
Email: olga.nikiforova2013@yandex.ru
+7 499 177-54-13
N. I. Redikultseva
Moscow State University of Mechanical Engineering (MAMI); State University of Management; Moscow University for the Humanities
Email: redik_ni@mail.ru
7 499 374-60-10
References
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- Павловский Ю.Н. Моделирование, декомпозиция и оптимизация сложных динамических процессов. М.: Издательство ВЦ РАН, 2009. -139 с.
- Белотелов Н.В., Бродский Ю.И., Кручина Е.Б. и др. Имитационная игра на основе эколого-демографо-экономической модели (ЭДЭМ): описание и инструкция пользователю. М.: РХТУ им.Д.И. Менделеева, 2003. - 83 с.
- Саймон Хайкин. Нейронные сети. - М.: Вильямс, 2006. - 1104 с.
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