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ANALYSIS OF TIME SERIES BY COMPLEX ECONOMIC-MATHEMATICAL METHODS

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Iqtisodiy taraqqiyot va tahlil

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ARTICLE ANNOTATION

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This article covers stages such as determining nonlinear trends of time series, mathematical modeling, finding trend equations using regression methods, and forecasting. In particular, taking into account the complex dynamics of economic processes, the advantages of exponential, logarithmic, and polynomial models were analyzed. The accuracy and error criteria of the forecast results are considered using practical examples.

AUTHORS

N.Raximov

Toshkent Davlat iqtisodiyot universiteti

A.Qutbiddin

Toshkent Davlat iqtisodiyot universiteti

A.Bozorov

Toshkent Davlat iqtisodiyot universiteti

S.Murodov

University of Business and Science

Tags

# mathematical modeling# математическое моделирование# временные ряды# time series# trend# vaqtli qatorlar# тренд# regression# matematik modellash# iqtisodiy jarayonlar# regressiya.# экономические процессы# регрессия.# economic processes

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Article Identifiers

ROI:

https://eroi.uz/11.0183/A0725-0083

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Not Available

References

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