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Refined two-index entropy and multiscale analysis for complex system

机译:复杂系统的精细二指标熵和多尺度分析

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As a fundamental concept in describing complex system, entropy measure has been proposed to various forms, like Boltzmann-Gibbs (BG) entropy, one-index entropy, two-index entropy, sample entropy, permutation entropy etc. This paper proposes a new two-index entropy S-q,S-delta and we find the new two-index entropy is applicable to measure the complexity of wide range of systems in the terms of randomness and fluctuation range. For more complex system, the value of two-index entropy is smaller and the correlation between parameter delta and entropy S-q,S-delta is weaker. By combining the refined two-index entropy S-q,S-delta with scaling exponent h (delta), this paper analyzes the complexities of simulation series and classifies several financial markets in various regions of the world effectively. (C) 2016 Elsevier B.V. All rights reserved.
机译:作为描述复杂系统的基本概念,熵度量已经提出了多种形式,如玻尔兹曼-吉布斯(BG)熵,一索引熵,二索引熵,样本熵,置换熵等。本文提出了新的两种指数熵Sq,S-delta,我们发现新的二指数熵可用于测量系统在随机性和波动范围方面的复杂性。对于更复杂的系统,二索引熵的值较小,并且参数delta和熵S-q,S-delta之间的相关性较弱。通过将改进的两指标熵S-q,S-delta与比例指数h(delta)结合起来,本文分析了模拟序列的复杂性,并有效地对了世界各地的几个金融市场进行了分类。 (C)2016 Elsevier B.V.保留所有权利。

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