Geodesic
Regression mathematical model of microfinance institutions influence on small
Journal of Samara State Technical University, Ser. Physical and Mathematical Sciences, no. 4 (2013), pp. 131-137.

Voir la notice de l'article provenant de la source Math-Net.Ru

The multidimensional statistical grouping of microfinance institutions registered in the territory of the Russian Federation by the type of organizational and legal forms of business is made. The regression econometric model that reflects the influence of the number of microfinance institutions on the intensity of development of small and medium-sized businesses in the regions is developed and investigated.
Keywords: regression model, organizational and legal form.
Mots-clés : microfinance institution 
@article{VSGTU_2013_4_a12,
     author = {E. G. Repina},
     title = {Regression mathematical model of microfinance institutions influence on small},
     journal = {Journal of Samara State Technical University, Ser. Physical and Mathematical Sciences},
     pages = {131--137},
     publisher = {mathdoc},
     number = {4},
     year = {2013},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VSGTU_2013_4_a12/}
}
TY  - JOUR
AU  - E. G. Repina
TI  - Regression mathematical model of microfinance institutions influence on small
JO  - Journal of Samara State Technical University, Ser. Physical and Mathematical Sciences
PY  - 2013
SP  - 131
EP  - 137
IS  - 4
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/VSGTU_2013_4_a12/
LA  - ru
ID  - VSGTU_2013_4_a12
ER  - 
%0 Journal Article
%A E. G. Repina
%T Regression mathematical model of microfinance institutions influence on small
%J Journal of Samara State Technical University, Ser. Physical and Mathematical Sciences
%D 2013
%P 131-137
%N 4
%I mathdoc
%U http://geodesic.mathdoc.fr/item/VSGTU_2013_4_a12/
%G ru
%F VSGTU_2013_4_a12
E. G. Repina. Regression mathematical model of microfinance institutions influence on small. Journal of Samara State Technical University, Ser. Physical and Mathematical Sciences, no. 4 (2013), pp. 131-137. http://geodesic.mathdoc.fr/item/VSGTU_2013_4_a12/

[1] E. G. Repina, “An statistical study of microfinance institutions using the methods of econometric modeling”, Vestn. SGEU, 2013, no. 3(101), 98–103

[2] Regions of Russia. Social and Economic Indicators, Rosstat, Moscow, 2012, 990 pp.

[3] Samara Statistical Yearbook, Samarastat, Samara, 2013, 358 pp.

[4] I. O. Knyazev, Role of small business in the Russian economy

[5] E. V. Zarova, O. A. Repin, E. G. Repina, Features of the application of of Grubbs criteria for verification of sample data on the abnormality in economic research, SGEU, Samara, 2006, 92 pp.

[6] H. Glejser, “A New Test for Heteroskedasticity”, J. Am. Stat. Assoc., 64:325 (1969), 316–323 | DOI

[7] S. A. Aivazian, V. S. Mkhitaryan, Applied statistics and essentials of econometrics, Yuniti-Dana, Moscow, 2000, 1006 pp.

[8] C. Dougherty, Introduction to Econometrics, Infra-M, Moscow, 1999, xiv+402 pp.