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• W2018573160 abstract "In this paper, we study long-range dependence of hydrological records with high frequent and massive data set. For detecting breakpoints, we apply the Evolutionary Wavelet Spectrum (EWS) to provide a segmentation of the original time series. And rescaled range analysis (R/S) for estimating the Hurst exponent that describe the long-range dependence phenomenon are used. The results affirm that the hydrological records have long-range dependent (LRD) behaviors." @default.
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• W2018573160 date "2014-11-01" @default.
• W2018573160 modified "2023-09-25" @default.
• W2018573160 title "Empirical Evidence of Hurst Exponent Estimation Wavelet Based" @default.
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• W2018573160 doi "https://doi.org/10.4028/www.scientific.net/amm.687-691.1668" @default.
• W2018573160 hasPublicationYear "2014" @default.
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