pp. 3021-3036 | Article Number: iejme.2016.247
Published Online: September 07, 2016
Article Views: 675 | Article Download: 798
The relevance of the problem stated in the article is due to the fact that there is a great variety of statistical methods now. The survey of the peculiarities of statistical methods indicates the wide possibility of applying the methods and stages of the correlation and regression analysis when building a model. The significance of the specification stage when building the regression model is determined, its theoretical basis and essence are described. One of the important aspects of the specification stage is the selection of the most significant variables (factors). The purpose of the article is to create and prove the model of integration of general and special economic disciplines with mathematics, to suggest the algorithm of the selection of factors at the specification stage of building the regression model in the framework of the application of integrative intersubject connections. The leading approach to the study of this issue is the method of formation of professional competence of future economists through the application of mathematical methods and models, knowledge and skills, which, in turn, provides the development of basic economic knowledge and skills. In the article we developed the method of solving the problem of application of mathematical statistics methods in building the econometric models in the framework of integration of intersubject connections, and we suggested the algorithm of selection of variables for building the effective regression model, which contributes to the conscious selection of the factors in the model and ensures the accuracy of real trends of the model and the model assessments, the obtainment of adequate forecast results
Keywords: integration connections, mathematics and economics, correlation analysis, regression analysis, specification of regression model, algorithm
Abalkin, L. I. (1987) A new type of economic thinking. Moscow: Economics.
Arkhipov, A. J. (1999) Modern economic thinking (Questions of the theory and practice of development): PhD Thesis. Rostov-on-Don.
Ayvazian, S. A. & Mkhitaryan, V. S. (2001) Applied Statistics and Econometrics fundamentals: a textbook for high schools. Moscow: UNITY-DANA.
Babenko, A. A. (2003) The formation of the ability to solve problems on optimization in the conditions of computer training of students of economic colleges: PhD Thesis. Volgograd: Moscow State Open Pedagogical University named after M.A. Sholokhov.
Burmistrova, N. A. (2001) Modeling the economic processes in the course of mathematics of the financial college. Omsk: Publishing house OSPU.
Burmistrova, N. A. (2011) The methodical system of mathematics learning of the future bachelors of the program track "Economy" on the basis of the competence approach: PhD Thesis. Krasnoyarsk: Siberian Federal University.
Cochran, W. (1976) Methods of sampling. Moscow: Statistics.
Danyluk, A. J. (2001) The theoretical and methodological bases of designing of integrated humanitarian educational spaces : PhD Thesis. Rostov-on-Don: South Federal University.
Dougherty, K. (2004) Introduction to Econometrics. Moscow: INFA-M
Eliseeva, I. I. (2014) Statistics: A book for bachelors. Moscow: Publishing House Yurayt.
Eliseeva, I. I., Kurysheva, S. V., Kosteeva, T. V., Pantina, I. V., Mikhailov, B. A., Neradovskaya J. V., Shtroe, G. G., Bartels, K ., Rybkina, L. R. (2007) Econometrics. Moscow: Finance and Statistics.
Ermolaev, O. J. (2006) Mathematical statistics for psychologists: a textbook. Moscow: Flinta.
Fischer, F. (1978) The problem of identification in econometrics. Moscow: Statistics.
Gein, A. G. (2000) The study of information modeling as a means of realization of intersubject connections of computer science with the disciplines of the natural science cycle: PhD Thesis. Moscow : Moscow State Pedagogical University.
Glantz, S. (1998) Biomedical Statistics. Moscow: Practice.
Glass, J. & Stanley, J. (1976) Statistical methods in pedagogy and psychology. Moscow: Progress.
Gmurman, V.E. (2003) Probability theory and mathematical statistics: a manual for schools. Moscow: Higher School.
Grabar, M. I. & Krasnyanskaya, K. A. (1977) Application of mathematical statistics in pedagogical researches. Non-parametric methods. Moscow: Education.
Gurtovaya, N. G. (2004) The role and the place of mathematical statistics methods in educational researches: PhD Thesis. Nizhny Novgorod: Volga State Engineering and Pedagogical Academy.
Heine, P. (1997) The economic way of thinking. Moscow: News.
Hollander, M. & Wolfe, D. (1983) Methods of nonparametric statistics. Moscow: Finance and Statistics.
Ivanov, V. G., Shaidullina, A. R., Drovnikov, A. S., Yakovlev, S. A., Masalimova, A. R. (2015). Regional Experience of Students’ Innovative and Entrepreneurial Competence Forming. Review of European Studies, 7(1), 35-40.
Kartezhnikov, D. A. (2007) Visual learning environment as a condition for the development of the mathematical competence of students of economic specialties: PhD Thesis. Omsk: Omsk State Pedagogical University.
Kiyko, P. V. (2006) Mathematical modeling as a system-forming factor in the realization of intersubject connections of mathematics and special disciplines in the training of future economists: PhD Thesis. Omsk: Omsk State Pedagogical University.
Klimenkova, O. A. (2003) The realization of intersubject connections of economics and mathematics at secondary school (by the example of the optional course "The derivative in economics and mathematics"): PhD Thesis. Moscow: Moscow State Pedagogical University.
Klimova, N. A. (2004) The establishment of intersubject communications between mathematics and economic disciplines with the help of the principal of the component analysis: PhD Thesis. Nizhny Novgorod: Volga State Engineering and Pedagogical Academy.
Kolacheva, N. V. (2006) Designing of technology of formation of natural-science knowledge of universitiy students of economic specialties (by the example of mathematics): PhD Thesis. Tolyatti: Togliatti State University.
Kolesina, K. Y. (2009) Metaproject learning: theory and implementation of technology in the learning process: PhD Thesis. Rostov-on-Don: South Federal University.
Kolyagin, Y. M., Oganesyan, V. A., Sanninsky, V. Y. & Lukanin, G. L. (1975) Methods of teaching mathematics in high school. General procedure. A book for students of physical and mathematical faculties of pedagogical universities. Moscow: Education.
Kremer, N. S. & Putko, B. A. (2013) Econometrics: a book. Moscow: UNITY.
Letunova, O. V. (2012). Economic thinking (social-philosophical analysis): PhD Thesis. Siberian State Aerospace University named after Academician M.F. Reshetnev. Krasnoyarsk.
Loktionova, E. A. (1998) The applied orientation of teaching mathematics in preparation of specialists of the economic profile: PhD Thesis. Orel: Orel State Pedagogical University.
Maximova, V. N. (1981) The essence and functions of intersubject communications the learning process: PhD Thesis. Leningrad: Leningrad State Pedagogical Institute. 467 p.
Mkhitaryan V. S. & Arkhipov, M. Y. & Sirotin, V. P. (2012) Econometrics: learning practical manual. Moscow: Publishing House of the Eurasian Open Institute.
Monakhov, V. M. (1995) The technological bases of constructing and projecting of the learning process. Volgograd: Publishing House “Peremena”.
Nikanorenko, D. V. (2003) Application of information technologies in teaching students of a pedagogical university Applied Economics: PhD Thesis. St. Petersburg: Russian State Pedagogical University. A.I. Herzen.
Nikitina, E. S. (2007) The intersubject integration as a means of formation of economic culture of the person of the pupils of middle school age: PhD Thesis. Bryansk: Bryansk State University.
Nosko, V. P. (2011) Econometrics. Book 1-2. Moscow: Publishing house "Delo" RANE&CS.
Novikov, I. (2013) Econometrics: a manual. Moscow: Dashkov and K *.
Prosvetov, G. I. (2008) Econometrics. Challenges and solutions. Moscow: Alpha-Press.
Ryabokoneva, L. D. (1996) Features of the content and methods of teaching mathematics in grades of the economic profile: PhD Thesis. Omsk: Omsk State Pedagogical University.
Shaidullina, A. R., Krylov, D. A., Sadovaya, V. V., Yunusova, G. R., Glebov, S. O., Masalimova, A. R., Korshunova, I. V. (2015a). Model of Vocational School, High School and Manufacture Integration in the Regional System of Professional Education. Review of European Studies, 7(1), 63-67.
Shaidullina, A. R., Pavlova, N. A., Minsabirova, V. N., Burdukovskaya, E. A., Yunusova, A. B., Letyaev, V. A., Afanasev, A. S. (2015b). Integration Processes in Education: Classification of Integration Types. Review of European Studies, 7(4), 27-31.
Shilova, Z. V. (2015) Econometrics: a manual. Saratov: IPR Books.
Silchenkova, S. V. (2014) The informational and educational support for the use of statistical methods in educational research: PhD Thesis. Smolensk: Smolensk State University.
Simonov, A. S. (2000) The mathematical models in a school course of Economics: PhD Thesis. Tula: Tula State Pedagogical University named after L.N. Tolstoy.
Smelova, V. G. (2009) Increasing the learning motivation of students of the basic and secondary school by the means of intersubject integration: PhD Thesis. Moscow : Academy for Advanced Studies and Retraining of Educators.
Tumaykina, M. J. (2000) The task approach to the implementation of the applied economic orientation of teaching mathematics (by the example of 5-6grades): PhD Thesis. Novosibirsk: Novosibirsk State University.
Urbach, V. Yu (1975) Statistical analysis in biological and medical research. Moscow: Science.
Zhilin, V. I. (1999) Modeling at the lessons of intersubject synthesis repetition of mathematics and physics (based on mathematics and physics of 11 grade): PhD Thesis. Omsk: Omsk State Pedagogical University.