Abstract
Autoregressive processes (AR) have typical short-range memory. Detrended Fluctuation Analysis (DFA) was basically designed to reveal long-range correlations in non stationary processes. However DFA can also be regarded as a suitable method to investigate both long-range and short-range correlations in non stationary and stationary systems. Applying DFA to AR processes can help understanding the non-uniform correlation structure of such processes. We systematically investigated a first order autoregressive model AR(1) by DFA and established the relationship between the interaction constant of AR(1) and the DFA correlation exponent. The higher the interaction constant the higher is the short-range correlation exponent. They are exponentially related. The investigation was extended to AR(2) processes. The presence of an interaction between distant terms with characteristic time constant in the series, in addition to a near by interaction will increase the correlation exponent and the range of correlation while the effect of a distant negative interaction will significantly decrease the range of interaction, only. This analysis demonstrate the possibility to identify an AR(1) model in an unknown DFA plot or to distinguish between AR(1) and AR(2) models.
Authors
V.V. Morariu
Department of Molecular and Biomolecular Physics, National Institute of R&D for Isotopic and Molecular Technology
L. Buimaga-Iarinca
Department of Molecular and Biomolecular Physics, National Institute of R&D for Isotopic and Molecular Technology
C. Vamoș
-Tiberiu Popoviciu Institute of Numerical Analysis, Romanian Academy
S.M. Soltuz
-Tiberiu Popoviciu Institute of Numerical Analysis, Romanian Academy
Keywords
Cite this paper as:
V.V. Morariu, L. Buimaga-Iarinca, C. Vamoş, Ş.M. Şoltuz, Detrended fluctuation analysis of autoregressive processes, Fluctuations and noise letters, Vol. 7, No. 3, 2007. pp. L249-L255, doi: 10.1142/S0219477507003908
References
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About this paper
Journal
Fluctuations and noise letters
Publisher Name
World Scientific Publishing Company
Print ISSN
0219-4775
Online ISSN
1793-6780
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