STATISTICAL METHODS IN MATHEMATICAL MODELING WITH ECONOMIC APPLICATION IN THE TEXTILE INDUSTRY
Keywords:
statistics, mathematical modeling, textile industry, regression, time series, cluster analysis, optimization.Abstract
This article examines the key statistical methods used in mathematical modeling of economic processes, with an emphasis on the textile industry. Methods such as regression analysis, time series analysis, and clustering are described. A practical task is also presented, aimed at optimizing the procurement of raw materials and reducing production costs, with the construction of an appropriate mathematical model.
References
H.K.Abdurakhmanova, I. Tursunov "Modern methods of teaching higher mathematics to students of technological universities" Scientific Bulletin of the Tashkent State Pedagogical University, No. 1, 2021, pp. 101-105.
H.K.Abdurakhmanova, R.Yarkulov Actual aspects of training students of a technical university. Collection of materials of the Republican scientific and practical conference. "Prospects of reforms carried out in the system of higher education of the Republic of Uzbekistan". p. 649-650, 2017.
H.K.Abdurakhmanova, A.A.Abdurakhmanov, I.Tursunov Textbook on sections of higher mathematics (Probability theory and mathematical statistics, elements of approximate calculations. Application in textile and light industry). Publ. TITLP Tashkent p. 102, 2017.
Springer Nature "Educational studies in Mathematics". 1968. p. 65
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
