Data series generated by complex systems exhibit fluctuations on many time scales and/or broad distributions of the values. In both equilibrium and non-equilibrium situations, the …
EAF Ihlen, B Vereijken - Journal of Experimental Psychology …, 2010 - psycnet.apa.org
It has been suggested that human behavior in general and cognitive performance in particular emerge from coordination between multiple temporal scales. In this article, we …
In this paper, the multifractality degree in a collection of developed and emerging stock market indices is evaluated. Empirical results suggest that the multifractality degree can be …
We perform a systematic investigation on the components of the empirical multifractality of financial returns using the daily data of Dow Jones Industrial Average from 26 May 1896 to …
Many physical and physiological signals exhibit complex scale-invariant features characterized by 1/f scaling and long-range power-law correlations, indicating a possibly …
We analyze the sequence of time intervals between consecutive stock trades of thirty companies representing eight sectors of the US economy over a period of 4 yrs. For all …
Evidence of past climate variations are stored in polar ice caps and indicate glacial‐ interglacial cycles of∼ 100 kyr. Using advanced scaling techniques we study the long …
S Dutta, D Ghosh, S Chatterjee - Frontiers in physiology, 2013 - frontiersin.org
In this paper multifractal detrended fluctuation analysis (MFDFA) is used to study the human gait time series for normal and diseased sets. It is observed that long range correlation is …
MS Movahed, E Hermanis - Physica A: Statistical Mechanics and its …, 2008 - Elsevier
We use some fractal analysis methods to study river flow fluctuations. The result of the Multifractal Detrended Fluctuation Analysis (MF-DFA) shows that there are two crossover …