Abstract
We study two aspects of the detrended fluctuation analysis (DFA) method, namely the scaling behavior of the leading terms of the best-fit polynomials and the detection of trends. We show analytically and numerically that the standard deviation of the leading terms of the best-fit polynomials used in DFA displays scaling behavior. Furthermore, we demonstrate that the distribution of these terms can be used to reveal the presence of trends in the data. We also argue that this distribution can be used as a sensitive tool for identifying weak trends.
Original language | English |
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Pages (from-to) | 234-243 |
Number of pages | 10 |
Journal | Physica A: Statistical Mechanics and its Applications |
Volume | 302 |
Issue number | 1-4 |
DOIs | |
State | Published - 15 Dec 2001 |
Event | International Workshop on Frontiers in the Physics of Complex Systems - Ramat-Gan, Israel Duration: 25 Mar 2001 → 28 Mar 2001 |
Bibliographical note
Funding Information:We wish to acknowledge Dr. Webman for useful discussions. RAM would like to acknowledge CONICET (Argentina) for financial support.
Funding
We wish to acknowledge Dr. Webman for useful discussions. RAM would like to acknowledge CONICET (Argentina) for financial support.
Funders | Funder number |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
Keywords
- Correlations
- DFA
- Scaling
- Trends