ANALYSIS OF TIME SERIES BY COMPLEX ECONOMIC-MATHEMATICAL METHODS
DOI:
https://doi.org/10.60078/2992-877X-2025-vol3-iss6-pp253-258Abstract
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.
Keywords:
time series economic processes trend mathematical modeling regressionReferences
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