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Surrogate Data Preserving All the Properties of Ordinal Patterns up to a Certain Length
http://hdl.handle.net/2241/00158679
http://hdl.handle.net/2241/00158679262e07d5-7940-4f1d-b761-50b3df8f0736
名前 / ファイル | ライセンス | アクション |
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entropy-_21-7 (1.1 MB)
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Item type | Journal Article(1) | |||||
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公開日 | 2019-11-25 | |||||
タイトル | ||||||
タイトル | Surrogate Data Preserving All the Properties of Ordinal Patterns up to a Certain Length | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源 | http://purl.org/coar/resource_type/c_6501 | |||||
タイプ | journal article | |||||
著者 |
平田, 祥人
× 平田, 祥人× Shiro, Masanori× Amigó, José M. |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | We propose a method for generating surrogate data that preserves all the properties of ordinal patterns up to a certain length, such as the numbers of allowed/forbidden ordinal patterns and transition likelihoods from ordinal patterns into others. The null hypothesis is that the details of the underlying dynamics do not matter beyond the refinements of ordinal patterns finer than a predefined length. The proposed surrogate data help construct a test of determinism that is free from the common linearity assumption for a null-hypothesis. | |||||
書誌情報 |
Entropy 巻 21, 号 7, p. 713, 発行日 2019-07 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1099-4300 | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | 10.3390/e21070713 | |||||
権利 | ||||||
権利情報 | © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | |||||
著者版フラグ | ||||||
値 | publisher | |||||
出版者 | ||||||
出版者 | MDPI |