Analysis and Forecasting of Economic Indicators

Economic systems are dynamic in nature. The use of economic and mathematical methods can significantly improve the quality of decisions made. The purpose of the work is the analysis and forecasting of economic indicators using mathematical modeling methods. The object of the study is statistical data. The following were used in the study: the least squares method, the moving average method, the Cramer method. Linear and additive models are constructed. On the basis of the obtained models, a forecast was made

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Publication Details

Journal
Trudy Universiteta
Published
2025-09-29
DOI
https://doi.org/10.52209/1609-1825_2025_3_346
Primary Topic
Economic Development and Digital Transformation
Type
article
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Analysis and Forecasting of Economic Indicators

Svetlana AREPУEVA
Trudy Universiteta
Economic Development and Digital Transformation
article

Analysis and Forecasting of Economic Indicators

Svetlana AREPУEVA
article en

Abstract

Economic systems are dynamic in nature. The use of economic and mathematical methods can significantly improve the quality of decisions made. The purpose of the work is the analysis and forecasting of economic indicators using mathematical modeling methods. The object of the study is statistical data. The following were used in the study: the least squares method, the moving average method, the Cramer method. Linear and additive models are constructed. On the basis of the obtained models, a forecast was made

Trudy UniversitetaVol. 3(100)
Openalex Percentile: Top 55%
Economic Development and Digital Transformation
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Analysis and Forecasting of Economic Indicators — Svetlana AREPУEVA · Trudy Universiteta (2025) | TGRS Research Map | TGRS