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Descriptive model of temporal features of multivariate time series based on granulation time series. As part of the descriptive analysis of these data, the article presents new model
Constructing trends of time series segments was shown to be an efficient tool to specify the trends of segments of the nonstationary time series
TIME SERIES ANALYSIS USING SSA METHOD AS APPLIED TO THE STUDY OF CONSUMER BEHAVIORThe article deals with the task of applying the «Caterpillar»-SSA method of time series analysis
Application of the Allan Variance to Time Series Analysis in Astrometry and Geodesy: A Review analysis. In addition, some physically connected scalar time series naturally form series
Comparison of classic and novel change point detection methods for time series with changes in varianceSegmentation or change point detection is a very common topic in time series analysis, anomaly
Application of the Allan Variance to Time Series Analysis in Astrometry and Geodesy: A Review analysis. In addition, some physically connected scalar time series naturally form series
Time series analysis of water pollution dataAim of this paper is to apply time series analysis methods to investigate water pollution
Positive and negative local trend association patterns in analysis of associations between time series. The method of analysis of associations between time series based on separate analysis of positively
The PCA-seq method applied to analyze of the dynamics of COVID-19 epidemic indicatorsIn time series analysis using the SSA method, a univariate series is converted
Solution of Fractional Differential Boundary Value Problems with Arbitrary Values of Derivative Orders for Time Series Analysis series) from time t (for example, the time interval for calculating the amplitudes of the deviation
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