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Models and methods applicable to the description operation of payment cards


Авторы

Егорова Наталья Евгеньевна
д.э.н., профессор, гл.н.с.
Россия, ЦЭМИ РАН г. Москва
nyegorova@mail.ru
Рузняев Михаил Михайлович
Аспирант
Россия, МЭСИ г. Москва
nan_moscow@mail.ru

Аннотация

This article provides an analysis of existing models and methods applicable to the description of the functioning of payment cards in the future - the PC. Proposed and developed new approaches to modeling modification relationship indicators of income, savings, demand and supply. The analysis models of savings, the development of which, in three phases, reflecting the transition from a simple, single-factor models to more complex - multifactorial.

Ключевые слова

Methods of economic-mathematical modeling, simulation, mathematical statistics methods, the dominant factor.

Рекомендуемая ссылка

Егорова Наталья Евгеньевна, Рузняев Михаил Михайлович. Models and methods applicable to the description operation of payment cards // Современные технологии управления. ISSN 2226-9339. — #6 (6). Номер статьи: 0601. Дата публикации: 08.06.2011. Режим доступа: https://sovman.ru/en/article/0601/

Authors

Egorova Natalya Evgenyevna
Doctor of Economics, professor, chief researcher
Russia, CEMI RAS Moscow
nyegorova@mail.ru
Ruznyaev Mikhail Mikhailovich
graduate student
Russia, MESI
nan_moscow@mail.ru

Abstract

Keywords

Suggested citation

Egorova Natalya Evgenyevna, Ruznyaev Mikhail Mikhailovich. // Modern Management Technology. ISSN 2226-9339. — #6 (6). Art. #  0601. Date issued: 08.06.2011. Available at: https://sovman.ru/en/article/0601/


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Библиографический список

  1. Quantitative methods of financial analysis. / Ed. S.J. Brown. – M.: INFRA-M, 1996
  2. Kuznets S. International differences in capital formation and economic growth. – Princeton, 1955
  3. Bagrinovsky K.A., Yegorova N.E. Simulation of the system in the planning of economic objects. – M.: Nauka, 1980
  4. Bendat J., Peirsol A. Applied analysis of random data. – M.: Mir, 1989
  5. Buslenko N.P. Simulation of complex systems. – M.: Nauka, 1978
  6. F. Gill, Murray N. Practical optimization. – M.: Mir, 1985
  7. Dubrov A.M. Mathematical and statistical evaluation of the effectiveness of the economic problems. – M.: Finance and Statistics 1982
  8. Egorova N.E., Smulov A.M. Businesses and banks are: interaction, economic analysis, modeling. – M.: Case, 202
  9. Emelyanov A.A., Vlasov E.A., Duma R.V. Simulation of economic processes. – M.: Finance and Statistics 2002
  10. Kantorovich L.V., Gorstko A.B. Optimal solutions in the economy. – M .: Nauka, 1972
  11. Kashin I.Y. Russia in the global savings process (the formation of a drama). – M.: FG NIKA 1999
  12. Marshall A. Principles of Political Economy. – M.: Progress 1983
  13. Naylor T. Machine simulation experiments with models of economic systems. – M.: Mir, 1975
  14. Perminov S.B. Simulation of control processes in the economy. – M.: Nauka, 1981
  15. Smulov A.M. Problems of interaction of industrial enterprises and banks. – M.: Finance and Statistics 2002
  16. Willis C. Mathematical statistics. – M .: Nauka, 1967
  17. Uotshem TJ, Parramou K. Quantitative methods in finance. – M.: Finance 1999
  18. Chetyrkin E.M. Methods of financial and commercial calculations. – M.: Case Co., Ltd., 1995
  19. Shannon R.E. Simulation systems: science and art. – M.: Mir, 1978
  20. Akindinova N.V. Miracles do not happen. // http://www.opec.ru/1247310.html#
  21. Development Center HSE // http://www.hse.ru/org/hse/6894522