STATISTICAL METHODS IN ECONOMIC APPLIED MATHEMATICAL MODELING IN THE TEXTILE INDUSTRY
Keywords:
statistics, mathematical modeling, textile industry, regression, time series, cluster analysis, optimization.Abstract
This article considers the main statistical methods used in mathematical modeling of economic processes with a focus on the textile industry. Methods such as regression analysis, time series analysis, and clustering are described. Also, a practical task is presented to optimize the purchase of raw materials and reduce production costs by creating an appropriate mathematical model.
References
Kh.K. Abdurakhmonova, I. Tursunov “Modern methods of teaching higher mathematics to students of higher technological institutions” Tashkent State Pedagogical University Scientific Bulletin, 2021, issue 1, pp. 101-105.
Kh.K. Abdurakhmonova, R. Yarkulov Current aspects of teaching students of the Technical University. Collection of materials of the Republican scientific and practical conference. “Prospects of reforms being implemented in the higher education system of the Republic of Uzbekistan”. 649-650, 2017
Kh.K. Abdurakhmonova, A.A. Abdurakhmonov, I. Tursunov. Educational and methodological manual for higher mathematics departments (Probability theory and mathematical statistics, elements of approximate calculations. Application in textile and light industry). Ed. TITLP Tashkent 102, 2017
Springer Nature "Educational research in mathematics". 1968. p. 65
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