Rescaled Range Permutation Entropy: A Method for Quantifying the Dynamical Complexity of Extreme Volatility in Chaotic Time Series

Research article (Chinese Physics Letters, 2020) · cited 11× · AI/ML
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Rescaled Range Permutation Entropy: A Method for Quantifying the Dynamical Complexity of Extreme Volatility in Chaotic Time Series

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APA 4ort.xyz Knowledge Graph. (2026). Rescaled Range Permutation Entropy: A Method for Quantifying the Dynamical Complexity of Extreme Volatility in Chaotic Time Series. Retrieved May 24, 2026, from https://4ort.xyz/entity/rescaled-range-permutation-entropy-a-method-for-quantifying-the-dynamical-complexity-of-extreme-volatility-in-chaotic-ti
MLA “Rescaled Range Permutation Entropy: A Method for Quantifying the Dynamical Complexity of Extreme Volatility in Chaotic Time Series.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rescaled-range-permutation-entropy-a-method-for-quantifying-the-dynamical-complexity-of-extreme-volatility-in-chaotic-ti.
BibTeX @misc{4ortxyz_rescaled-range-permutation-entropy-a-method-for-quantifying-the-dynamical-complexity-of-extreme-volatility-in-chaotic-ti_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Rescaled Range Permutation Entropy: A Method for Quantifying the Dynamical Complexity of Extreme Volatility in Chaotic Time Series}}, year = {2026}, url = {https://4ort.xyz/entity/rescaled-range-permutation-entropy-a-method-for-quantifying-the-dynamical-complexity-of-extreme-volatility-in-chaotic-ti}, note = {Accessed: 2026-05-24}}
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