Methods of natural sciences in social and human research
2 USPU
Modern scientific research in the rapidly changing world requires new approaches and methods to address existing problems. The study of markets are not possible without mathematical methods, without identifying linkages and interdependencies of various factors, exogenous factors affecting the situation. The study of the competitiveness of economic agents is impossible without definition of significant mechanisms of growth and straight lines or indirect stimulators of development. Mathematical statistics and modeling play an important role in the study of economic processes. In this connection it is useful to turn to the methods of the natural sciences. One of the interesting trends is econophysics. Dissatisfaction with traditional explanations of economists was due to the mismatch of financial data sets of existing theoretical models. Projections on the basis of temporary ranks is a necessary element of any investment activity, development of production forces and territories.
еconophysics, percolation theory, competitiveness, Brownian motion.
1. Gould H., Tobochnik Ya. Computer modeling in physics: in 2 parts. Translate by V. A. Panchenko, A.N. Polyudov. Moscow, 1990, 400 p. (In Russian).
2. Kiryanov A. I., Kiryanova E. N. Computational physics. Moscow, Polybook Multimedia, 2006, 352 p. (In Russian).
3. Efros A. L. Physics and geometry disorder. Moscow, Nauka, 1982, 176 p. (In Russian).
4. Latuha O. A.Mathematical model of innovative activity of modern high school. NSPU Bulletin, 2011, no. 1, pp. 69–73. (In Russian).
5. Tarasevich Yu. Yu. Percolation Theory, applications, algorithms. Moscow, 2012, 112 p. (In Russian).
6. Rahaev B. M., Karchaeva B. M., Kudalieva L. M., Tramova M. S. Natural randomness of economic growth. TERRA ECONOMICUS, 2006, vol. 4, no. 1, pp. 106–115. (In Russian).
7. Borovikov V. Statistics: art of the analysis of the data on your computer. St. Petersburg: Piter, 2003, 688 p. (In Russian).
8. Porshnev S. V., Ovechkin E. V., Mashchenko M. V., Kaplan A. V., Kaplan V. E. Computer analysis and interpretation of the empirical dependences. Moscow, Binom-Press, 2009, 336 p. (In Russian).