The (detrended cross-correlation analysis) DCCA cross-correlation coefficient was proposed
to measure the level of long-range cross-correlations between two non-stationary time …

The computation of the bivariate Hurst exponent constitutes an important technique to test
the power-law cross-correlation of time series. For this objective, the detrended cross …

We study the dynamical behavior of multifractals in typhoons. A significant and fascinating
feature of this behavior is that it provides a proper interpretation for the pattern of a typhoon …

The correlation analysis of bivariate time series is a common problem in many fields. Based
on the analysis of the changing range and the changing direction between any two time …

Introdução: Doenças, incluindo doenças tropicais negligenciadas, representam um
problema significativo para a saúde pública em todo o mundo, sendo a dengue uma grande …

运用多重分形消除趋势波动分析法(MF DFA) 与多重分形消除趋势波动交叉相关分析法(MF
DCCA) 对全球港口拥塞指数的中国港口ETA (Estimated Time of Arrival) 海岬型船与巴西港口 …

In this paper, we investigate the robustness of the well-known DCCA (detrended cross-
correlation analysis) methodology and give a qualitative analysis result. Due to the non …

Most meteorological time series are long auto-correlated and cross-correlated. Due to the
pres highly periodic trends, these correlations are di quantify and, very often, spurious …