Study of cross-correlation in a self-affine time series of taxi accidents
Study of cross-correlation in a self-affine time series of taxi accidents
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DOI：
10.1016/j.physa.2010.12.038
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发表时间：
2011-05-01
影响因子：
3.3
通讯作者：
Machado Filho, A.
中科院分区：
文献类型：
--
作者：
Zebende, G. F.;da Silva, P. A.;Machado Filho, A.
本文研究了出租车事故中同时记录的实变量自仿射时间序列之间的相互关系。为此，我们应用DCCA方法，并表明，如果我们寻找非趋势协方差函数，则相互关系可以分为三种不同的组，即远程相互关系，短期相互关系和无相互关系。最后，将看到，如果与其他方法相比，在识别这些类型的相互关联方面，去趋势协方差函数是鲁棒的。(C) 2011 Elsevier B.V.版权所有
We study in this paper the cross-correlation between self-affine time series of real variables recorded simultaneously in cases of taxi accidents. For this purpose, we apply the DCCA method and show that the cross-correlation can be divided into three distinct groups, if we look for the detrended covariance function, i.e., long-range cross-correlations, short-range cross-correlations and no cross-correlations. Finally, it will be seen that the detrended covariance function is robust, if compared with other methods, in identifying these types of cross-correlations. (C) 2011 Elsevier B.V. All rights reserved.