Open AccessMathematical methods for the analysis of migration processes on the basis of demographic data
Author(s) -
О. Б. Бутусов,
О. П. Никифорова,
N. I. Redikultseva
Publication year - 2015
Publication title -
izvestiâ mgtu "mami"
Language(s) - English
Resource type - Journals
eISSN - 2949-1428
pISSN - 2074-0530
DOI - 10.17816/2074-0530-67102
Subject(s) - markov chain , stochastic matrix , econometrics , identification (biology) , markov process , mathematical model , regression analysis , markov model , computer science , mathematics , statistics , biology , botany
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.