Kojić, Milena and Mitić, Petar and Dimovski, Marko and Minović, Jelena (2021) Multivariate Multifractal Detrending Moving Average Analysis of Air Pollutants. Mathematics, 9 (7). ISSN 2227-7390
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Abstract
One of the most challenging endeavors of contemporary research is to describe and analyze the dynamic behavior of time series arising from real-world systems. To address the need for analyzing long-range correlations and multifractal properties of multivariate time series, we generalize the multifractal detrended moving average algorithm (MFDMA) to the multivariate case and propose a multivariate MFDMA algorithm (MV-MFDMA). The validity and performance of the proposed algorithm are tested by conducting numerical simulations on synthetic multivariate monofractal and multifractal time series. The MV-MFDMA algorithm is then utilized to analyze raw, seasonally adjusted, and remainder components of five air pollutant time series. Results from all three cases reveal multifractal properties with persistent long-range correlations.
Item Type: | Article |
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Additional Information: | COBISS.ID=35329033 |
Uncontrolled Keywords: | multifractal detrended moving average, multivariate analysis, air pollutants |
Research Department: | Sustainable Development |
Depositing User: | Jelena Banovic |
Date Deposited: | 31 Mar 2021 08:45 |
Last Modified: | 31 Mar 2021 08:45 |
URI: | http://ebooks.ien.bg.ac.rs/id/eprint/1581 |
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