We use the Detrended Cross-Correlation Analysis (DCCA) to investigate the influence of
sun activity represented by sunspot numbers on one of the climate indicators, specifically …

Multifractal detrended cross-correlation analysis (MF-DXA) has been developed to detect
the long-range power-law cross-correlation of considered signals in the presence of non …

Based on a monthly drought index, the Standardized Precipitation Index (SPI), we
investigate the multifractality of monthly drought areas in seven major regions in China from …

In this paper, Stock market comovements are examined using cointegration, Granger
causality tests and nonlinear approaches in context of mutual information and correlations …

Measuring local singularities on voltage signal transmits valuable information about the
evolving dynamics of non-stationary and nonlinear processes in fuel cell systems. This …

Agricultural commodity futures are the earliest listed futures in the world. The rapid
development of their markets has greatly affected the world agricultural production and …

The fluctuation and distribution of hydrological signals are highly related to the fluvial and
geophysical regime at estuarine regions. Based on the long daily streamflow and sediment …

We use detrended fluctuation analysis DFA method to detect the long-range correlation and
scaling properties of daily precipitation series of Beijing from 1973 to 2004 before and after …

We investigate the statistical anisotropy and Gaussianity of temperature fluctuations of
Cosmic Microwave Background (CMB) radiation data from the Wilkinson Microwave …

Fractal analysis has proven useful for the quantitative characterization of complex time
series by scale-free statistical measures in various applications. The analysis has commonly …