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Analysis of almost-periodic and almost-proportional characteristics of time series of local minima of a representative sample

Paramonov Alexander A.  (Assistant, Federal State Budgetary Educational Institution of Higher Education "MIREA — Russian Technological University")

Kuzmin Viktor I.  (Doctor of Technical Sciences, Professor, Federal State Budgetary Educational Institution of Higher Education "MIREA — Russian Technological University")

Dzerzhinsky Roman I.  (Candidate of Technical Sciences, Associate Professor, Federal State Budgetary Educational Institution of Higher Education "MIREA — Russian Technological University")

The problem of methods for analyzing nonlinear oscillations is now a general scientific, fundamental one, especially in the field of information systems with a large amount of data. In this paper, the analysis takes place on a test example of exchange data to identify hidden connections, general patterns, trends and fluctuations. According to the results of the analysis, it is expected to identify the desired ergodic dependence, as well as distinctive features of data behavior in the identified areas of almost-periods and almost-proportions.

Keywords:Nonlinear dynamics, economics, data analysis, stock data, time series, nonlinear fluctuations with trend, trend exclusion, almost-periods, almost-proportions, development cell.

 

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Citation link:
Paramonov A. A., Kuzmin V. I., Dzerzhinsky R. I. Analysis of almost-periodic and almost-proportional characteristics of time series of local minima of a representative sample // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2022. -№07. -С. 93-100 DOI 10.37882/2223-2966.2022.07.28
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