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Study of cross-correlation in a self-affine time series of taxi accidents

By G.F. Zebende, P.A. da Silva and A. Machado Filho


AbstractWe 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

Publisher: Elsevier B.V.
Year: 2011
DOI identifier: 10.1016/j.physa.2010.12.038
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