{"created":"2021-03-01T07:33:57.350965+00:00","id":53262,"links":{},"metadata":{"_buckets":{"deposit":"b25a8250-60c0-4567-8466-d5d055712135"},"_deposit":{"id":"53262","owners":[],"pid":{"revision_id":0,"type":"depid","value":"53262"},"status":"published"},"_oai":{"id":"oai:tsukuba.repo.nii.ac.jp:00053262","sets":["152:7752","3:62:5587:7751"]},"item_5_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2019-07","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"7","bibliographicPageStart":"713","bibliographicVolumeNumber":"21","bibliographic_titles":[{"bibliographic_title":"Entropy"}]}]},"item_5_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"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.","subitem_description_type":"Abstract"}]},"item_5_publisher_27":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"MDPI"}]},"item_5_relation_11":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"10.3390/e21070713","subitem_relation_type_select":"DOI"}}]},"item_5_rights_12":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"© 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/)."}]},"item_5_select_15":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_select_item":"publisher"}]},"item_5_source_id_7":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1099-4300","subitem_source_identifier_type":"ISSN"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"平田, 祥人"},{"creatorName":"ヒラタ, ヨシト","creatorNameLang":"ja-Kana"},{"creatorName":"HIRATA, Yoshito","creatorNameLang":"en"}],"nameIdentifiers":[{},{}]},{"creatorNames":[{"creatorName":"Shiro, Masanori","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Amigó, José M.","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2019-11-25"}],"displaytype":"detail","filename":"entropy-_21-7.pdf","filesize":[{"value":"1.1 MB"}],"format":"application/pdf","licensetype":"license_6","mimetype":"application/pdf","url":{"label":"entropy-_21-7","url":"https://tsukuba.repo.nii.ac.jp/record/53262/files/entropy-_21-7.pdf"},"version_id":"942f8bfc-9453-485b-bb8e-e19bb2e3764f"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Surrogate Data Preserving All the Properties of Ordinal Patterns up to a Certain Length","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Surrogate Data Preserving All the Properties of Ordinal Patterns up to a Certain Length"}]},"item_type_id":"5","owner":"1","path":["7752","7751"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-11-25"},"publish_date":"2019-11-25","publish_status":"0","recid":"53262","relation_version_is_last":true,"title":["Surrogate Data Preserving All the Properties of Ordinal Patterns up to a Certain Length"],"weko_creator_id":"1","weko_shared_id":5},"updated":"2022-04-27T09:26:50.977160+00:00"}