ECONOMIC AND MATHEMATICAL MODELING IN THE ANALYSIS AND FORECASTING OF THE AUTOMOTIVE INDUSTRY IN UZBEKISTAN

Yakubova Dildar Muxamedjanovna; Kasimova Nozima Omilovna; Saidova Gulnora Amanovna

ECONOMIC AND MATHEMATICAL MODELING IN THE ANALYSIS AND FORECASTING OF THE AUTOMOTIVE INDUSTRY IN UZBEKISTAN

Authors

Yakubova Dildar Muxamedjanovna Candidate of Economic Sciences, Associate Professor, Tashkent State Technical University
Kasimova Nozima Omilovna Basic Doctoral Student, Tashkent State Technical University
Saidova Gulnora Amanovna Senior lecturer, Tashkent State Technical University

Keywords:

Automotive industry, economic and mathematical modeling, multifactor static analysis, forecasting

Abstract

The use of economic-mathematical models of multifactor static analysis and forecasting is one of the most reliable tools for researching activities of an enterprise or industry as a whole, the study of the dynamics of the industry in the future.

References

Shadybaev T. State and prospects of development of the automobile industry of the Republic of Uzbekistan. - T.: Center for Economic Research, 2013.

Ekonomichesko-matematicheskie metody i modeli: tutorial / Edited by Yu.V. Krivolutskogo, L.A. Funberg. - Moscow: Unity, 2015. - 319 c.

Khusnutdinov, R.Sh. Economic and mathematical methods and models: Textbook /. - M.: Infra-M, 2017. - 320 c.

www.stat.uz

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Published

2022-04-30

How to Cite

Yakubova Dildar Muxamedjanovna, Kasimova Nozima Omilovna, & Saidova Gulnora Amanovna. (2022). ECONOMIC AND MATHEMATICAL MODELING IN THE ANALYSIS AND FORECASTING OF THE AUTOMOTIVE INDUSTRY IN UZBEKISTAN. World Economics and Finance Bulletin, 9, 157-160. Retrieved from https://scholarexpress.net/index.php/wefb/article/view/906